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https://github.com/kimpro82/moocoke
Learn from MOOC like doing coke, but do not really coke
https://github.com/kimpro82/moocoke
boostcourse computer-science coursera edx elice functional-programming mastertrack micromaster mooc online-degree pathway sololearn
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Learn from MOOC like doing coke, but do not really coke
- Host: GitHub
- URL: https://github.com/kimpro82/moocoke
- Owner: kimpro82
- Created: 2022-03-17T03:16:06.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-07-25T01:30:31.000Z (4 months ago)
- Last Synced: 2024-07-25T19:05:56.985Z (4 months ago)
- Topics: boostcourse, computer-science, coursera, edx, elice, functional-programming, mastertrack, micromaster, mooc, online-degree, pathway, sololearn
- Homepage:
- Size: 74.2 KB
- Stars: 6
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# MOOCoke
Learn from MOOC like doing coke, but do not really coke (if you aren't a Californian)
## List
Master's Degree and Pathway Programs
- [Master's Degree / Edx](#masters-degree--edx)
- [Master's Degree / Coursera](#masters-degree--coursera)
- [MicroMaster® Certificate / Edx - Computer Science](#edx--micromaster-certificate---computer-science)
- [MicroMaster® Certificate / Edx - Data Science & Analytics](#edx--micromaster-certificate---data-science--analytics)
- [MasterTrack® Certificate / Coursera](#coursera--mastertrack-certificate)
Coursera : Professional Certificate
- [General](#coursera--professional-certificate--general)
- [Cloud - Azure](#coursera--professional-certificate--cloud---azure)
- [Cloud - GCP (Beginner)](#coursera--professional-certificate--cloud---gcp-beginner)
- [Cloud - GCP (Intermediate)](#coursera--professional-certificate--cloud---gcp-intermediate)
- [Cloud - GCP (Data Science)](#coursera--professional-certificate--cloud---gcp-data-science)
- [Data Science - SAS, R](#coursera--professional-certificate--data-science---sas-r)
Coursera : Specialization
- [Development - General](#coursera--specialization--development---general)
- [Programming Language - C/C++](#coursera--specialization--programming-language---cc)
- [Programming Language - Python](#coursera--specialization--programming-language---python)
- [Data Structure & Algorithms](#coursera--specialization--data-structure--algorithms)
- [Cloud - AWS](#coursera--specialization--cloud---aws)
- [Cloud - Azure](#coursera--specialization--cloud---azure)
- [Cloud - GCP](#coursera--specialization--cloud---gcp)
- [Game Programming](#coursera--specialization--game-programming)
- [Mathematics](#coursera--specialization--mathematics)
- [Statistics](#coursera--specialization--statistics)
- [Data Science - Python](#coursera--specialization--data-science---python)
- [Data Science - R](#coursera--specialization--data-science---r)
- [Data Science - SAS](#coursera--specialization--data-science---sas)
- [Excel](#coursera--specialization--excel)
- [RPA](#coursera--specialization--rpa)
- [Electronic Engineering](#coursera--specialization--electronic-engineering)
- [Investment](#coursera--specialization--investment)
- [Investment - Python](#coursera--specialization--investment---python)
- [Investment - ESG](#coursera--specialization--investment---esg)
- [Blockchain](#coursera--specialization--blockchain)
- [Blockchain - Fintech](#coursera--specialization--blockchain---fintech)
- [Music (1) Beginner - Musicianship](#coursera--specialization--music-1-beginner---musicianship)
- [Music (2) Beginner - Producing / Business](#coursera--specialization--music-2-beginner---producing--business)
- [Music (3) Intermediate](#coursera--specialization--music-3-intermediate)
- [English (1)](#coursera--specialization--english-1)
- [English (2) Business English](#coursera--specialization--english-2-business-english)
- [English (3) Writing](#coursera--specialization--english-3-writing)
- [Others](#coursera--specialization--others)
Coursera : Course / Project
- [Course : Development (1) General](#coursera--course--development-1-general)
- [Course : Development (2) Applications](#coursera--course--development-2-applications)
- [Course : Development (3) Electronics](#coursera--course--development-3-electronics)
- [Course : Music (1) Beginner, Itermedate](#coursera--course--music-1-beginner-itermedate)
- [Course : Music (2) Mixed](#coursera--course--music-2-mixed)
- [Course : Others](#coursera--course--others)
- [Project : Dart & Flutter](#coursera--project--dart--flutter)
- [Guided Project](#coursera--guided-project)
Edx
- [Professional Certificate](#edx--professional-certificate)
- [Course](#edx--course)
Others
- [Sololearn / Course](#sololearn--course)
- [Naver Connect / BoostCourse](#naver-connect--boostcourse)
- [Elice Academy / Free Course](#elice-academy--free-course)
- [ETC](#etc)
## [Master's Degree / Edx](#list)
| Subject | Partner | Title | Tuition (USD) | Months | Credits* | GPA | TOEFL (IBT) |
|:-:|:-:|:--|:-:|:-:|:-:|:-:|:-:|
| Computer Science | University of Texas at Austin | [Master’s Degree in Computer Science](https://www.edx.org/masters/online-master-science-computer-science-utaustinx) | 10,000 | 18-36 | 30 | 3.0 | 79 |
| | Georgia Tech | [Master of Science in Computer Science](https://omscs.gatech.edu/explore-oms-cs) | 9,900 | 12-36 | 36 | 3.0 | 100 |
| Cybersecurity | Georgia Tech | [Master’s Degree in Cybersecurity](https://www.edx.org/masters/online-master-science-cybersecurity-georgia-tech) | 9,920 | 24-36 | 30 | 3.0 | 100 |
| Data Science | University of Texas at Austin | [Master’s Degree in Data Science](https://www.edx.org/masters/online-master-data-science-utaustinx) | 10,000 | 18-36 | 30 | 3.0 | 79 |
| Analytics | Georgia Tech | [Master’s Degree in Analytics](https://www.edx.org/masters/online-master-science-analytics-georgia-tech) | 9,900 | 12-36 | 36 | 3.0 | 100 |
\* Credits : It regarded as 3 credits per a course if there is no information.
## [Master's Degree / Coursera](#list)
| Subject | Partner | Title | Total Cost (USD) | Months | Credits* | GPA | TOEFL (IBT) |
|:-:|:-:|:--|:-:|:-:|:-:|:-:|:-:|
| Computer Science | Arizona State University | [Online Master of Computer Science](https://www.coursera.org/degrees/master-of-computer-science-asu) | 15,000 | 18-36 | 30 | 3.0 | 90 |
| | University of Illinois | [Master of Computer Science (Featuring Data Science Track)](https://www.coursera.org/degrees/master-of-computer-science-illinois) | 21,440 | 12-36 | 32 | 3.2 | 103 |
| | University of Pennsylvania | [Master of Computer and Information Technology](https://www.coursera.org/degrees/mcit-penn) | 32,140 | 16-40 | 30 | 3.0 | 100 |
| Data Science | University of Colorado Boulder | [Master of Science in Data Science](https://www.coursera.org/degrees/master-of-science-data-science-boulder) | 20,010 | 24 | 30 | - | - |
| | University of Michigan | [Master of Applied Data Science](https://www.coursera.org/degrees/master-of-applied-data-science-umich) | 43,894 | 12-36 | 34 | ? | 100 |
| | Imperial College London | [Master of Science in Machine Learning and Data Science](https://www.coursera.org/degrees/msc-machine-learning-imperial) | 30,000 | 24 | 36 | 3.75 | IELTS 7.0 |
| Electrical Engineering | University of Colorado Boulder | [Master of Science in Electrical Engineering](https://www.coursera.org/degrees/msee-boulder) | 20,010 | 24 | 30 | - | - |
| Business Analytics | O.P. Jindal Global University | [MBA in Business Analytics](https://www.coursera.org/degrees/mba-business-analytics-jgu) | 7,050 | 24-36 | 80 | ? | ? |
\* Credits : It regarded as 3 credits per a course if there is no information.
## [Edx / MicroMaster® Certificate - Computer Science](#list)
| Subject | Partner | Course | Title | Payment($) \* | Months | Related Degree |
|:-:|:-:|:-:|:--|--:|:-:|:-:|
| Computer Science | University of British Columbia | | [**Software Development**](https://www.edx.org/micromasters/ubcx-software-development) | 925 | 9 | [Master of Science in Professional Studies at Rochester Institute of Technology](https://www.rit.edu/online/pathways/ubcx-software-development),
[Master of Science (Computer Science) at Curtin University](https://study.curtin.edu.au/offering/course-pg-computer-science-major-msc-science--mjrp-cmscmv1/) |
| | | 1 | How to Code: Simple Data | | | |
| | | 2 | How to Code: Complex Data | | | |
| | | 3 | Software Construction: Data Abstraction | | | |
| | | 4 | Software Construction: Object-Oriented Design | | | |
| | | 5 | Software Engineering: Introduction | | | |
| | | 6 | Software Development Capstone Project | | | |
| | The University of California, San Diego | | [**Algorithms and Data Structures**](https://www.edx.org/micromasters/ucsandiegox-algorithms-and-data-structures) | 1,200 | 9 | [Master of Science in Professional Studies at Rochester Institute of Technology](https://www.rit.edu/online/pathways/ucsdx-algorithms-data-structure) |
| | | 1 | Algorithmic Design and Techniques | | | |
| | | 2 | Data Structures Fundamentals | | | |
| | | 3 | Graph Algorithms | | | |
| | | 4 | NP-Complete Problems | | | |
| | | 5 | String Processing and Pattern Matching Algorithms | | | |
| | | 6 | Dynamic Programming: Applications In Machine Learning and Genomics | | | |
| | | 7 | Graph Algorithms in Genome Sequencing | | | |
| | | 8 | Algorithms and Data Structures Capstone | | | |
| | Rochester Institute of Technology | | [**Cybersecurity**](https://www.edx.org/micromasters/ritx-cybersecurity) | 1,596 | 10 | [Master of Science in Professional Studies at Rochester Institute of Technology](https://www.rit.edu/online/pathways/ritx-cybersecurity) |
| | | 1 | Cybersecurity Fundamentals | | | |
| | | 2 | Computer Forensics | | | |
| | | 3 | Cybersecurity Risk Management | | | |
| | | 4 | Network Security | | | |
| | | 5 | Cybersecurity Capstone | | | |
| | University of Maryland Global Campus | | [**Cloud Computing**](https://www.edx.org/micromasters/usmx-umgc-cloud-computing) | 1,196 | 8 | [Master of Science in Cloud Computing Systems](https://www.umgc.edu/online-degrees/masters/cloud-computing-systems) |
| | | 1 | Cloud Computing for Enterprises | | | |
| | | 2 | Cloud Computing Infrastructure | | | |
| | | 3 | Cloud Computing Engineering and Management | | | |
| | | 4 | Cloud Computing Security | | | |
| | Purdue University | | [**Quantum Technology: Computing**](https://www.edx.org/micromasters/purduex-quantum-technology-computing) | 5,250 | 10 | [Master of Science in Electrical and Computer Engineering at Purdue University](https://engineering.purdue.edu/online/programs/masters-degrees/interdisciplinary-engineering/electrical-and-computer-engineering),
[Master of Science in Professional Studies at Rochester Institute of Technology](https://www.rit.edu/online/pathways/purduex-quantum-technology-computing) |
| | | 1 | Introduction to Quantum Science & Technology | | | |
| | | 2 | Applied Quantum Computing I: Fundamentals | | | |
| | | 3 | Applied Quantum Computing II: Hardware | | | |
| | | 4 | Applied Quantum Computing III: Algorithm and Software | | | |
| | | 5 | Quantum Detectors | | | |
| | Purdue University | | [**Quantum Technology: Detectors and Networking**](https://www.edx.org/micromasters/purduex-quantum-technology-detectors-and-networking) | 5,250 | 10 | [Master of Science in Electrical and Computer Engineering at Purdue University](https://engineering.purdue.edu/online/programs/masters-degrees/interdisciplinary-engineering/electrical-and-computer-engineering),
[Master of Science in Professional Studies at Rochester Institute of Technology](https://www.rit.edu/online/pathways/purduex-quantum-technology-detectors-and-networking) |
| | | 1 | Quantum Networking | | | |
| | | 2 | Quantum Detectors and Sensors | | | |
| | | 3 | Applied Quantum Computing I: Fundamentals | | | |
| | | 4 | Applied Quantum Computing II: Hardware | | | |
| | | 5 | Applied Quantum Computing III: Algorithm and Software | | | |
\* They may be discounted.
## [Edx / MicroMaster® Certificate - Data Science & Analytics](#list)
| Subject | Partner | Course | Title | Payment($) \* | Months | Related Degree |
|:-:|:-:|:-:|:--|--:|:-:|:-:|
| Data Science | The University of California, San Diego | | [**Data Science**](https://www.edx.org/micromasters/uc-san-diegox-data-science) | 1,400 | 10 | [Master of Science degree in Data Science at Rochester Institute of Technology](https://www.rit.edu/online/pathways/ucsdx-data-science) |
| | | 1 | Python for Data Science | | | |
| | | 2 | Probability and Statistics in Data Science using Python | | | |
| | | 3 | Machine Learning Fundamentals | | | |
| | | 4 | Machine Learning Fundamentals | | | |
| | Massachusetts Institute of Technology | | [**Statistics and Data Science**](https://www.edx.org/micromasters/mitx-statistics-and-data-science) | 1,500 | 14 | [Refer to this link](https://www.edx.org/micromasters/mitx-statistics-and-data-science) |
| | | 1 | Probability - The Science of Uncertainty and Data | | | |
| | | 2 | Fundamentals of Statistics | | | |
| | | 3 | Machine Learning with Python: from Linear Models to Deep Learning | | | |
| | | 4 | Capstone Exam in Statistics and Data Science | | | |
| | | 5 | (Select one) Data Analysis in Social Science—Assessing Your Knowledge | | | |
| | | 5 | (Select one) Data Analysis: Statistical Modeling and Computation in Applications | | | |
| | University of Adelaide | | [**Big Data**](https://www.edx.org/micromasters/adelaidex-big-data) | 985.5 | 12 | [Master of Data Science at the University of Adelaide](https://www.adelaide.edu.au/degree-finder/mdsci_mdatasci.html)
[Master of Science in Professional Studies at Rochester Institute of Technology](https://www.rit.edu/online/pathways/adelaidex-big-data) |
| | | 1 | Programming for Data Science | | | |
| | | 2 | Computational Thinking and Big Data | | | |
| | | 3 | Big Data Fundamentals | | | |
| | | 4 | Big Data Analytics | | | |
| | | 5 | Big Data Capstone Project | | | |
| | The Hong Kong University of Science and Technology | | [**Big Data Technology**](https://www.edx.org/micromasters/hkustx-big-data-technology) | 1,450 | 9 | Master of Science programs in Big Data Technology (BDT) and Information Technology (IT) |
| | | 1 | Foundations of Data Analytics | | | |
| | | 2 | Data Mining and Knowledge Discovery | | | |
| | | 3 | Big Data Computing with Spark | | | |
| | | 4 | Mathematical Methods for Data Analysis | | | |
| | | 5 | Big Data Technology Capstone Project | | | |
| Analytics | The Georgia Institute of Technology | | [**Analytics: Essential Tools and Methods**](https://www.edx.org/micromasters/gtx-analytics-essential-tools-and-methods) | 2,475 | 12 | [Online Master of Science in Analytics](https://pe.gatech.edu/degrees/analytics)
[Master of Science in Professional Studies at Rochester Institute of Technology](https://www.rit.edu/online/pathways/gtx-analytics-essential-tools-methods) |
| | | 1 | Introduction to Analytics Modeling | | | |
| | | 2 | Computing for Data Analysis | | | |
| | | 3 | Data Analytics for Business | | | |
\* They may be discounted.
## [Coursera / MasterTrack® Certificate](#list)
| Subject | Partner | Course | Title | Payment($) | Months | Related Degree |
|:-:|:-:|:-:|:--|--:|:-:|:-:|
| IT | Arizona State University | | [**AI & Machine Learning**](https://www.coursera.org/mastertrack/ai-machine-learning-asu)\* | 4,500 | 6-9 | Master of Computer Science |
| | | 1 | Statistical Machine Learning | | | |
| | | 2 | Artificial Intelligence | | | |
| | | 3 | Knowledge Representation and Reasoning | | | |
| | | 4 | Intro to Deep Learning in Visual Computing | | | |
| | Arizona State University | | [**Big Data**](https://www.coursera.org/mastertrack/big-data-asu)\* | 4,500 | 6-9 | Master of Computer Science |
| | | 1 | Data Processing at Scale | | | |
| | | 2 | Data Mining | | | |
| | | 3 | Statistical Machine Learning | | | |
| | | 4 | Data Visualization | | | |
| | Arizona State University | | [**Cybersecurity**](https://www.coursera.org/mastertrack/cybersecurity-asu)\* | 4,500 | 6-9 | Master of Computer Science |
| | | 1 | Information Assurance and Security | | | |
| | | 2 | Applied Cryptography | | | |
| | | 3 | Software Security | | | |
| | | 4 | Advanced Computer and Network Security | | | |
| | | 5 | Distributed and Multiprocessor Operating Systems | | | |
| | | 6 | Accelerated Applied Security | | | |
| | Arizona State University | | [**Software Engineering**](https://www.coursera.org/mastertrack/software-engineering-asu)\* | 4,500 | 6-9 | Master of Computer Science |
| | | 1 | Software Verification, Validation, and Testing | | | |
| | | 2 | Advanced Software Analysis and Design | | | |
| | | 3 | Engineering Blockchain Applications | | | |
| | | 4 | Mobile Computing | | | |
| Analytics | The University of Chicago | | [**Machine Learning for Analytics**](https://www.coursera.org/mastertrack/machine-learning-analytics-chicago) | 4,000 | 5 | Master of Science in Analytics |
| | | 1 | Statistical Thinking for Machine Learning | | | |
| | | 2 | Advanced Statistical Thinking for Machine Learning | | | |
| | | 3 | Introduction to Machine Learning | | | |
| | | 4 | Advanced Applications | | | |
| | Tufts University | | [**Business Analytics for Managers**](https://www.coursera.org/mastertrack/data-analytics-managers-tufts) | 3,000 | 6 | Master of Science in Engineering Management |
| | | 1 | Analytics Techniques for Business Insight | | | |
| | | 2 | Expanding Your Business Analytics Skills | | | |
| | | 3 | Data Analytics In Product Development and Production | | | |
| | | 4 | Marketing and Sales Data Decision Making | | | |
| | | 5 | Data Analytics Applications Finance and Economics | | | |
\* Take 3 of the 4 courses listed to earn your certificate.
## [Coursera / Professional Certificate : General](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| COBOL | [**IBM Mainframe Developer**](https://www.coursera.org/professional-certificates/ibm-mainframe-developer) | Bgn. | 101 | × | × | IBM |
| | · [Introduction to Enterprise Computing](https://www.coursera.org/learn/introduction-enterprise-computing) | Bgn. | 10 | | | |
| | · [IBM COBOL Basics](https://www.coursera.org/learn/ibm-cobol-basics) | Bgn. | 14 | | | |
| | · [IBM COBOL Core](https://www.coursera.org/learn/ibm-cobol-core) | Bgn. | 11 | | | |
| | · [IBM COBOL Software Development Practices](https://www.coursera.org/learn/software-development-practices) | Bgn. | 18 | | | |
| | · [IBM COBOL Data and File Management](https://www.coursera.org/learn/cobol-data-file-management) | Bgn. | 17 | | | |
| | · [IBM COBOL Basic Testing and Debugging](https://www.coursera.org/learn/cobol-testing-debugging) | Bgn. | 14 | | | |
| | · [IBM COBOL Software Development Process](https://www.coursera.org/learn/software-development-proccess) | Bgn. | 17 | | | |
| IT Automation
Python | [**Google IT Automation with Python**](https://www.coursera.org/professional-certificates/google-it-automation) | Bgn. | 115 | ○ | △ | Google |
| | · [Crash Course on Python](https://www.coursera.org/learn/python-crash-course) | Bgn. | 28 | | ○ | |
| | · [Using Python to Interact with the Operating System](https://www.coursera.org/learn/python-operating-system) | Bgn. | 27 | | × | |
| | · [Introduction to Git and GitHub](https://www.coursera.org/learn/introduction-git-github) | Bgn. | 16 | | × | |
| | · [Troubleshooting and Debugging Techniques](https://www.coursera.org/learn/troubleshooting-debugging-techniques) | Bgn. | 16 | | × | |
| | · [Configuration Management and the Cloud](https://www.coursera.org/learn/configuration-management-cloud) | Bgn. | 15 | | × | |
| | · [Automating Real-World Tasks with Python](https://www.coursera.org/learn/automating-real-world-tasks-python) | Bgn. | 13 | | × | |
| IT Support | [**Google IT Support**](https://www.coursera.org/professional-certificates/google-it-support) | Bgn. | 124 | ○ | × | Google |
| | · [Technical Support Fundamentals](https://www.coursera.org/learn/technical-support-fundamentals) | Bgn. | 20 | | | |
| | · [The Bits and Bytes of Computer Networking](https://www.coursera.org/learn/computer-networking) | Bgn. | 25 | | | |
| | · [Operating Systems and You: Becoming a Power User](https://www.coursera.org/learn/os-power-user) | Bgn. | 31 | | | |
| | · [System Administration and IT Infrastructure Services](https://www.coursera.org/learn/system-administration-it-infrastructure-services) | Bgn. | 24 | | | |
| | · [IT Security: Defense against the digital dark arts](https://www.coursera.org/learn/it-security) | Bgn. | 24 | | | |
| IT Support | [**IBM Technical Support**](https://www.coursera.org/professional-certificates/ibm-technical-support) | Bgn. | 48+ | × | × | IBM |
| | · [Introduction to Hardware and Operating Systems](https://www.coursera.org/learn/introduction-to-hardware-and-operating-systems) | Bgn. | 10 | | | |
| | · [Introduction to Software, Programming, and Databases](https://www.coursera.org/learn/introduction-software-programming-and-databases) | Bgn. | 9 | | | |
| | · [Introduction to Networking and Storage](https://www.coursera.org/learn/introduction-to-networking-and-storage) | Bgn. | 5 | | | |
| | · [Introduction to Cybersecurity Essentials](https://www.coursera.org/learn/introduction-to-cybersecurity-essentials) | Bgn. | 5 | | | |
| | · [Introduction to Cloud Computing](https://www.coursera.org/learn/introduction-to-cloud) | Bgn. | 13 | | | |
| | · [Introduction to Technical Support](https://www.coursera.org/learn/introduction-to-technical-support) | Bgn. | 6 | | | |
| | · [Technical Support Case Studies and Project](https://www.coursera.org/learn/technical-support-case-studies) | Bgn. | - | | | |
| Project Management | [**Google Project Management**](https://www.coursera.org/professional-certificates/google-project-management) | Bgn. | 155 | ○ | × | Google |
| | · [Foundations of Project Management](https://www.coursera.org/learn/project-management-foundations) | Bgn. | 18 | | | |
| | · [Project Initiation: Starting a Successful Project](https://www.coursera.org/learn/project-initiation-google) | Bgn. | 22 | | | |
| | · [Project Planning: Putting It All Together](https://www.coursera.org/learn/project-planning-google) | Bgn. | 29 | | | |
| | · [Project Execution: Running the Project](https://www.coursera.org/learn/project-execution-google) | Bgn. | 26 | | | |
| | · [Agile Project Management](https://www.coursera.org/learn/agile-project-management) | Bgn. | 26 | | | |
| | · [Capstone: Applying Project Management in the Real World](https://www.coursera.org/learn/applying-project-management) | Bgn. | 34 | | | |
## [Coursera / Professional Certificate : Cloud - Azure](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Microsoft Azure | [**Microsoft Azure Developer Associate (AZ-204)**](https://www.coursera.org/professional-certificates/azure-developer-associate) | Itm. | 89 | ○ | × | Microsoft |
| | · [Create Serverless Applications](https://www.coursera.org/learn/create-serverless-applications) | Itm. | 18 | | | |
| | · [Connect Your Services with Microsoft Azure Service Bus](https://www.coursera.org/learn/connect-your-services-with-microsoft-azure-service-bus) | Itm. | 10 | | | |
| | · [Data Storage in Microsoft Azure for Associate Developers](https://www.coursera.org/learn/data-storage-microsoft-azure-developers) | Itm. | 16 | | | |
| | · [Deploy a website with Azure Virtual Machines](https://www.coursera.org/learn/deploy-a-website-with-azure-virtual-machines) | Itm. | 9 | | | |
| | · [Manage Resources in Azure](https://www.coursera.org/learn/manage-resources-azure) | Itm. | 11 | | | |
| | · [Deploy a website to Azure with Azure App Service](https://www.coursera.org/learn/deploy-a-website-to-azure-with-azure-app-service) | Itm. | 9 | | | |
| | · [Secure your Cloud Data](https://www.coursera.org/learn/secure-your-cloud-data) | Itm. | 9 | | | |
| | · [Prepare for AZ-204: Developing Solutions for Microsoft Azure](https://www.coursera.org/learn/az-204-developing-solutions-for-microsoft-azure) | Itm. | 7 | | | |
| Microsoft Azure | [**Microsoft Azure Data Engineering Associate (DP-203)**](https://www.coursera.org/professional-certificates/microsoft-azure-dp-203-data-engineering) | Itm. | 117 | ○ | × | Microsoft |
| | · [Microsoft Azure for Data Engineering](https://www.coursera.org/learn/microsoft-azure-dp-203-data-engineering) | Itm. | 6 | | | |
| | · [Data Storage in Microsoft Azure](https://www.coursera.org/learn/data-storage-microsoft-azure) | Itm. | 16 | | | |
| | · [Data Integration with Microsoft Azure Data Factory](https://www.coursera.org/learn/azure-data-factory-data-integration) | Itm. | 16 | | | |
| | · [Introduction to Microsoft Azure Synapse Analytics](https://www.coursera.org/learn/introduction-to-microsoft-azure-synapse-analytics) | Itm. | 8 | | | |
| | · [Data Warehousing with Microsoft Azure Synapse Analytics](https://www.coursera.org/learn/data-warehousing-with-microsoft-azure-synapse-analytics) | Itm. | 15 | | | |
| | · [Data Engineering with MS Azure Synapse Apache Spark Pools](https://www.coursera.org/learn/data-engineering-with-ms-azure-synapse-apache-spark-pools) | Itm. | 7 | | | |
| | · [Operational Analytics with Microsoft Azure Synapse Analytics](https://www.coursera.org/learn/operational-analytics-with-microsoft-azure-synapse-analytics) | Itm. | 12 | | | |
| | · [Microsoft Azure Databricks for Data Engineering](https://www.coursera.org/learn/microsoft-azure-databricks-for-data-engineering) | Itm. | 22 | | | |
| | · [Azure Data Lake Storage Gen2 and Data Streaming Solution](https://www.coursera.org/learn/azure-data-lake-storage-gen2-and-data-streaming-solution) | Itm. | 9 | | | |
| | · [Prepare for DP-203: Data Engineering on Microsoft Azure Exam](https://www.coursera.org/learn/microsoft-dp-203-practice-exam) | Itm. | 6 | | | |
| Microsoft Azure
Machine Learning | [**Microsoft Azure Data Scientist Associate (DP-100)**](https://www.coursera.org/professional-certificates/azure-data-scientist) | Itm. | 90 | ○ | × | Microsoft |
| | · [Create Machine Learning Models in Microsoft Azure](https://www.coursera.org/learn/create-machine-learning-models-in-microsoft-azure) | Itm. | 13 | | | |
| | · [Microsoft Azure Machine Learning for Data Scientists](https://www.coursera.org/learn/microsoft-azure-machine-learning-for-data-scientist) | Itm. | 11 | | | |
| | · [Build and Operate Machine Learning Solutions with Azure](https://www.coursera.org/learn/build-and-operate-machine-learning-solutions-with-azure) | Itm. | 31 | | | |
| | · [Perform data science with Azure Databricks](https://www.coursera.org/learn/perform-data-science-with-azure-databricks) | Itm. | 26 | | | |
| | · [Prepare for DP-100: Data Science on Microsoft Azure Exam](https://www.coursera.org/learn/prepare-for-dp-100-design-a-data-science-solution-on-azure) | Itm. | 9 | | | |
## [Coursera / Professional Certificate : Cloud - GCP (Beginner)](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Google Cloud | [**Google Cloud Digital Leader Training**](https://www.coursera.org/professional-certificates/google-cloud-digital-leader-training) | Bgn. | 8 | ○ | × | Google Cloud |
| | · [Introduction to Digital Transformation with Google Cloud](https://www.coursera.org/learn/digital-transformation-google-cloud) | Bgn. | 2 | | | |
| | · [Innovating with Data and Google Cloud](https://www.coursera.org/learn/innovating-with-data-google-cloud) | Bgn. | 2 | | | |
| | · [Infrastructure and Application Modernization with Google Cloud](https://www.coursera.org/learn/google-cloud-product-fundamentals) | Bgn. | 2 | | | |
| | · [Understanding Google Cloud Security and Operations](https://www.coursera.org/learn/understanding-google-cloud-security-and-operations) | Bgn. | 2 | | | |
| Google Cloud | [**Preparing for Google Cloud Certification: Cloud DevOps Engineer**](https://www.coursera.org/professional-certificates/sre-devops-engineer-google-cloud) | Bgn. | 51 | ○ | × | Google Cloud |
| | · [Google Cloud Fundamentals: Core Infrastructure](https://www.coursera.org/learn/gcp-fundamentals) | Bgn. | 9 | | | |
| | · [Developing a Google SRE Culture](https://www.coursera.org/learn/developing-a-google-sre-culture) | Bgn. | 8 | | | |
| | · [Reliable Google Cloud Infrastructure: Design and Process](https://www.coursera.org/learn/cloud-infrastructure-design-process) | Adv. | 8 | | | |
| | · [Logging, Monitoring and Observability in Google Cloud](https://www.coursera.org/learn/logging-monitoring-observability-google-cloud) | Bgn. | 15 | | | |
| | · [Getting Started with Google Kubernetes Engine](https://www.coursera.org/learn/google-kubernetes-engine) | Itm. | 11 | | | |
## [Coursera / Professional Certificate : Cloud - GCP (Intermediate)](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Google Cloud | [**Preparing for Google Cloud Certification: Cloud Engineer Professional**](https://www.coursera.org/professional-certificates/cloud-engineering-gcp) | Itm. | 44 | ○ | × | Google Cloud |
| | · [Google Cloud Fundamentals: Core Infrastructure](https://www.coursera.org/learn/gcp-fundamentals) | Bgn. | 9 | | | |
| | · [Essential Google Cloud Infrastructure: Foundation](https://www.coursera.org/learn/gcp-infrastructure-foundation) | Itm. | 8 | | | |
| | · [Essential Google Cloud Infrastructure: Core Services](https://www.coursera.org/learn/gcp-infrastructure-core-services) | Itm. | 8 | | | |
| | · [Elastic Google Cloud Infrastructure: Scaling and Automation](https://www.coursera.org/learn/gcp-infrastructure-scaling-automation) | Itm. | 7 | | | |
| | · [Architecting with Google Kubernetes Engine: Foundations](https://www.coursera.org/learn/foundations-google-kubernetes-engine-gke) | Itm. | 8 | | | |
| | · [Preparing for Your Associate Cloud Engineer Journey](https://www.coursera.org/learn/preparing-cloud-associate-cloud-engineer-exam) | Itm. | 4 | | | |
| Google Cloud | [**Preparing for Google Cloud Certification: Cloud Architect Professional**](https://www.coursera.org/professional-certificates/gcp-cloud-architect) | Itm. | 61 | ○ | × | Google Cloud |
| | · [Google Cloud Fundamentals: Core Infrastructure](https://www.coursera.org/learn/gcp-fundamentals) | Bgn. | 9 | | | |
| | · [Essential Google Cloud Infrastructure: Foundation](https://www.coursera.org/learn/gcp-infrastructure-foundation) | Itm. | 8 | | | |
| | · [Essential Google Cloud Infrastructure: Core Services](https://www.coursera.org/learn/gcp-infrastructure-core-services) | Itm. | 8 | | | |
| | · [Elastic Google Cloud Infrastructure: Scaling and Automation](https://www.coursera.org/learn/gcp-infrastructure-scaling-automation) | Itm. | 7 | | | |
| | · [Reliable Google Cloud Infrastructure: Design and Process](https://www.coursera.org/learn/cloud-infrastructure-design-process) | Adv. | 8 | | | |
| | · [Architecting with Google Kubernetes Engine: Foundations](https://www.coursera.org/learn/foundations-google-kubernetes-engine-gke) | Itm. | 8 | | | |
| | · [Preparing for the Google Cloud Professional Cloud Architect Exam](https://www.coursera.org/learn/preparing-cloud-professional-cloud-architect-exam) | Adv. | 13 | | | |
| Google Cloud | [**Preparing for Google Cloud Certification: Cloud Security Engineer Professional**](https://www.coursera.org/professional-certificates/google-cloud-security) | Itm. | 67 | ○ | × | Google Cloud |
| | · [Preparing for Your Professional Cloud Security Engineer Journey](https://www.coursera.org/learn/preparing-for-your-professional-cloud-security-engineer-journey) | Bgn. | 7 | | | |
| | · [Google Cloud Fundamentals: Core Infrastructure](https://www.coursera.org/learn/gcp-fundamentals) | Bgn. | 9 | | | |
| | · [Networking in Google Cloud: Defining and Implementing Networks](https://www.coursera.org/learn/networking-gcp-defining-implementing-networks) | Itm. | 9 | | | |
| | · [Networking in Google Cloud: Hybrid Connectivity and Network Management](https://www.coursera.org/learn/networking-gcp-hybrid-connectivity-network-management) | Itm. | 9 | | | |
| | · [Managing Security in Google Cloud](https://www.coursera.org/learn/managing-security-in-google-cloud-platform) | Itm. | 7 | | | |
| | · [Security Best Practices in Google Cloud](https://www.coursera.org/learn/security-best-practices-in-google-cloud) | Itm. | 13 | | | |
| | · [Mitigating Security Vulnerabilities on Google Cloud](https://www.coursera.org/learn/mitigating-security-vulnerabilites-gcp) | Itm. | 8 | | | |
| | · [Hands-On Labs in Google Cloud for Security Engineers](https://www.coursera.org/learn/hands-on-labs-google-cloud-security-engineer) | Itm. | 5 | | | |
| Google Cloud | [**Preparing for Google Cloud Certification: Cloud Network Engineer Professional**](https://www.coursera.org/professional-certificates/google-cloud-networking) | Itm. | 33 | ○ | × | Google Cloud |
| | · [Google Cloud Fundamentals: Core Infrastructure](https://www.coursera.org/learn/gcp-fundamentals) | Bgn. | 9 | | | |
| | · [Networking in Google Cloud: Defining and Implementing Networks](https://www.coursera.org/learn/networking-gcp-defining-implementing-networks) | Itm. | 9 | | | |
| | · [Networking in Google Cloud: Hybrid Connectivity and Network Management](https://www.coursera.org/learn/networking-gcp-hybrid-connectivity-network-management) | Itm. | 9 | | | |
| | · [Hands-On Labs in Google Cloud for Networking Engineers](https://www.coursera.org/learn/hands-on-labs-google-cloud-networking-engineer) | Itm. | 6 | | | |
## [Coursera / Professional Certificate : Cloud - GCP (Data Science)](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Google Cloud | [**Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate**](https://www.coursera.org/professional-certificates/gcp-data-engineering) | Itm. | 58 | ○ | × | Google Cloud |
| | · [Google Cloud Big Data and Machine Learning Fundamentals](https://www.coursera.org/learn/gcp-big-data-ml-fundamentals) | Bgn. | 10 | | | |
| | · [Modernizing Data Lakes and Data Warehouses with Google Cloud](https://www.coursera.org/learn/data-lakes-data-warehouses-gcp) | Itm. | 7 | | | |
| | · [Building Batch Data Pipelines on Google Cloud](https://www.coursera.org/learn/batch-data-pipelines-gcp) | Itm. | 17 | | | |
| | · [Building Resilient Streaming Analytics Systems on Google Cloud](https://www.coursera.org/learn/streaming-analytics-systems-gcp) | Itm. | 8 | | | |
| | · [Smart Analytics, Machine Learning, and AI on GCP](https://www.coursera.org/learn/smart-analytics-machine-learning-ai-gcp) | Itm. | 8 | | | |
| | · [Preparing for the Google Cloud Professional Data Engineer Exam](https://www.coursera.org/learn/preparing-cloud-professional-data-engineer-exam) | Adv. | 8 | | | |
| Google Cloud
Machine Learning | [**Preparing for Google Cloud Certification: Machine Learning Engineer**](https://www.coursera.org/professional-certificates/preparing-for-google-cloud-machine-learning-engineer-professional-certificate) | Itm. | 138 | ○ | × | Google Cloud |
| | · [Google Cloud Big Data and Machine Learning Fundamentals](https://www.coursera.org/learn/gcp-big-data-ml-fundamentals) | Bgn. | 10 | | | |
| | · [How Google does Machine Learning](https://www.coursera.org/learn/google-machine-learning) | Bgn. | 13 | | | |
| | · [Launching into Machine Learning](https://www.coursera.org/learn/launching-machine-learning) | Bgn. | 15 | | | |
| | · [TensorFlow on Google Cloud](https://www.coursera.org/learn/intro-tensorflow) | Itm. | 15 | | | |
| | · [Feature Engineering](https://www.coursera.org/learn/feature-engineering) | Itm. | 14 | | | |
| | · [Machine Learning in the Enterprise](https://www.coursera.org/learn/art-science-ml) | Adv. | 24 | | | |
| | · [Production Machine Learning Systems](https://www.coursera.org/learn/gcp-production-ml-systems) | Adv. | 21 | | | |
| | · [MLOps (Machine Learning Operations) Fundamentals](https://www.coursera.org/learn/mlops-fundamentals) | Itm. | 15 | | | |
| | · [ML Pipelines on Google Cloud](https://www.coursera.org/learn/ml-pipelines-google-cloud) | Adv. | 11 | | | |
## [Coursera / Professional Certificate : Data Science - SAS, R](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| SAS | [**SAS Programmer**](https://www.coursera.org/professional-certificates/sas-programming) | Bgn. | 74 | ○ | ○ | SAS |
| | · [Getting Started with SAS Programming](https://www.coursera.org/learn/sas-programming-basics) | Bgn. | 24 | | | |
| | · [Doing More with SAS Programming](https://www.coursera.org/learn/sas-programming-advanced) | Itm. | 25 | | | |
| | · [Preparing for the SAS Programming Certification Exam](https://www.coursera.org/learn/preparing-sas-programming-certification) | Itm. | 16 | | | |
| | · [Practicing for the SAS Programming Certification Exam](https://www.coursera.org/learn/practicing-sas-programming-certification) | Itm. | 9 | | | |
| SAS | [**SAS Advanced Programmer**](https://www.coursera.org/professional-certificates/sas-advanced-programmer) | Itm. | 63 | ○ | ○ | SAS |
| | · [Structured Query Language (SQL) using SAS](https://www.coursera.org/learn/sas-sql) | - | 26 | | | |
| | · [SAS Macro Language](https://www.coursera.org/learn/sas-macro-language) | Itm. | 20 | | | |
| | · [Advanced SAS Programming Techniques](https://www.coursera.org/learn/advanced-sas-programming-techniques) | Itm. | 17 | | | |
| SAS | [**SAS Statistical Business Analyst**](https://www.coursera.org/professional-certificates/sas-statistical-business-analyst) | Itm. | 37 | ○ | ○ | SAS |
| | · [Introduction to Statistical Analysis: Hypothesis Testing](https://www.coursera.org/learn/statistical-analysis-hypothesis-testing-sas) | Itm. | 10 | | | |
| | · [Regression Modeling Fundamentals](https://www.coursera.org/learn/regression-modeling-sas) | Itm. | 11 | | | |
| | · [Predictive Modeling with Logistic Regression using SAS](https://www.coursera.org/learn/sas-predictive-modeling-using-logistic-regression) | Itm. | 16 | | | |
| SAS | [**SAS Visual Business Analytics**](https://www.coursera.org/professional-certificates/sas-visual-business-analytics) | Bgn. | 29 | ○ | ○ | SAS |
| | · [Getting Started with SAS Visual Analytics](https://www.coursera.org/learn/preparing-data-sas-va) | Bgn. | 4 | | | |
| | · [Data Analysis and Reporting in SAS Visual Analytics](https://www.coursera.org/learn/data-analysis-reporting-sas-va) | - | 9 | | | |
| | · [Using Data for Geographic Mapping and Forecasting in SAS Visual Analytics](https://www.coursera.org/learn/using-data-geographic-mapping-sas-va) | Itm. | 4 | | | |
| | · [Performing Network, Path, and Text Analyses in SAS Visual Analytics](https://www.coursera.org/learn/network-path-text-analyses-sas-va) | Itm. | 4 | | | |
| | · [Creating Advanced Reports with SAS Visual Analytics](https://www.coursera.org/learn/advanced-reports-sas-va) | Itm. | 8 | | | |
| Excel
R | [**IBM Data Analytics with Excel and R**](https://www.coursera.org/professional-certificates/ibm-data-analyst-r-excel) | Bgn. | 127 | ○ | ○ | IBM |
| | · [Introduction to Data Analytics](https://www.coursera.org/learn/introduction-to-data-analytics) | Bgn. | 10 | | | |
| | · [Excel Basics for Data Analysis](https://www.coursera.org/learn/excel-basics-data-analysis-ibm) | Bgn. | 12 | | | |
| | · [Data Visualization and Dashboards with Excel and Cognos](https://www.coursera.org/learn/data-visualization-dashboards-excel-cognos) | Bgn. | 15 | | | |
| | · [Assessment for Data Analysis and Visualization Foundations](https://www.coursera.org/learn/data-analysis-visualization-foundations-assessment) | Bgn. | 1 | | | |
| | · [Introduction to R Programming for Data Science](https://www.coursera.org/learn/introducton-r-programming-data-science) | Bgn. | 10 | | | |
| | · [SQL for Data Science with R](https://www.coursera.org/learn/sql-data-science-r) | Bgn. | 27 | | | |
| | · [Data Analysis with R](https://www.coursera.org/learn/data-analysis-with-r) | Itm. | 16 | | | |
| | · [Data Visualization with R](https://www.coursera.org/learn/data-visualization-r) | Bgn. | 12 | | | |
| | · [Data Science with R - Capstone Project](https://www.coursera.org/learn/data-science-with-r-capstone-project) | Itm. | 24 | | | |
## [Coursera / Specialization : Development - General](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Golang | [**Programming with Google Go**](https://www.coursera.org/specializations/google-golang) | Itm. | 28 | ○ | × | University of California, Irvine |
| | · [Getting Started with Go](https://www.coursera.org/learn/golang-getting-started) | Itm. | 11 | | | |
| | · [Functions, Methods, and Interfaces in Go](https://www.coursera.org/learn/golang-functions-methods) | Itm. | 8 | | | |
| | · [Concurrency in Go](https://www.coursera.org/learn/golang-concurrency) | Itm. | 9 | | | |
| Java | [**Java as a Second Language**](https://www.coursera.org/specializations/java-programming-language) | Itm. | 28 | ○ | × | LearnQuest |
| | · [Introduction to Java as a Second Language](https://www.coursera.org/learn/intro-java-second-language) | Itm. | 7 | | | |
| | · [The Java Language](https://www.coursera.org/learn/java-as-a-second-language-the-java-language) | Itm. | 7 | | | |
| | · [Writing Java Application Code](https://www.coursera.org/learn/writing-java-code-for-applications) | Itm. | 14 | | | |
| Open Source Linux Git | [**Open Source Software Development, Linux and Git**](https://www.coursera.org/specializations/oss-development-linux-git) | Bgn. | 60 | ○ | × | The Linux Foundation |
| | · [Open Source Software Development Methods](https://www.coursera.org/learn/open-source-software-development-methods) | Bgn. | 4 | | | |
| | · [Linux for Developers](https://www.coursera.org/learn/linux-for-developers) | Bgn. | 19 | | | |
| | · [Linux Tools for Developers](https://www.coursera.org/learn/linux-tools-for-developers) | Bgn. | 15 | | | |
| | · [Using Git for Distributed Development](https://www.coursera.org/learn/git-distributed-development) | Bgn. | 22 | | | |
| Scala | [**Functional Programming in Scala**](https://www.coursera.org/specializations/scala) | Itm. | 184 | ○ | × | École Polytechnique Fédérale de Lausanne |
| | · [Functional Programming Principles in Scala](https://www.coursera.org/learn/scala-functional-programming) | Itm. | 56 | | | |
| | · [Functional Program Design in Scala](https://www.coursera.org/learn/scala-functional-program-design) | Itm. | 35 | | | |
| | · [Parallel programming](https://www.coursera.org/learn/scala-parallel-programming) | Itm. | 33 | | | |
| | · [Big Data Analysis with Scala and Spark](https://www.coursera.org/learn/scala-spark-big-data) | Itm. | 28 | | | |
| | · [Functional Programming in Scala Capstone](https://www.coursera.org/learn/scala-capstone) | - | 32 | | | |
| VB | [**Introduction to Computer Programming with Visual Basic**](https://www.coursera.org/specializations/visual-basic-computer-programming) | Bgn. | 95 | ○ | × | LearnQuest |
| | · [Foundations of Computer Science](https://www.coursera.org/learn/computer-science-foundations) | Bgn. | 16 | | | |
| | · [Introduction to Visual Basic Programming](https://www.coursera.org/learn/visual-basic-programming-introduction) | Bgn. | 28 | | | |
| | · [Visual Basic Programming: Classes and Collections](https://www.coursera.org/learn/visual-basic-classes-collections) | Itm. | 28 | | | |
| | · [Visual Basic Programming: Inheritance and Polymorphism](https://www.coursera.org/learn/visual-basic-inheritance-polymorphism) | Itm. | 23 | | | |
## [Coursera / Specialization : Programming Language - C/C++](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| C | [**Introductory C Programming**](https://www.coursera.org/specializations/c-programming) | Bgn. | 82 | ○ | × | Duke University |
| | · [Programming Fundamentals](https://www.coursera.org/learn/programming-fundamentals) | Bgn. | 18 | | | |
| | · [Writing, Running, and Fixing Code in C](https://www.coursera.org/learn/writing-running-fixing-code) | Bgn. | 20 | | | |
| | · [Pointers, Arrays, and Recursion](https://www.coursera.org/learn/pointers-arrays-recursion) | Bgn. | 21 | | | |
| | · [Interacting with the System and Managing Memory](https://www.coursera.org/learn/interacting-system-managing-memory) | Bgn. | 23 | | | |
| C | [**Computational Thinking with Beginning C Programming**](https://www.coursera.org/specializations/computational-thinking-c-programming) | Bgn. | 54 | ○ | × | University of Colorado System |
| | · [Algorithms, Data Collection, and Starting to Code](https://www.coursera.org/learn/algorithms-data-collection-code) | Bgn. | 15 | | | |
| | · [Data Analysis and Representation, Selection and Iteration](https://www.coursera.org/learn/data-analysis-representation-selection-iteration) | Bgn. | 11 | | | |
| | · [Abstraction, Problem Decomposition, and Functions](https://www.coursera.org/learn/abstraction-problem-decomposition-functions) | Bgn. | 17 | | | |
| | · [Simulation, Algorithm Analysis, and Pointers](https://www.coursera.org/learn/simulation-algorithm-analysis-pointers) | Bgn. | 11 | | | |
| C++ | [**Programming in C++: A Hands-on Introduction**](https://www.coursera.org/specializations/hands-on-cpp) | Bgn. | 36 | ○ | × | Codio |
| | · [C++ Basics: Selection and Iteration](https://www.coursera.org/learn/codio-cpp-basics) | Bgn. | 9 | | | |
| | · [C++ Basic Structures: Vectors, Pointers, Strings, and Files](https://www.coursera.org/learn/cpp-basic-structures-vectors-pointers-strings-and-files) | Bgn. | 9 | | | |
| | · [C++ Object Basics: Functions, Recursion, and Objects](https://www.coursera.org/learn/cpp-object-basics) | Itm. | 9 | | | |
| | · [Object-Oriented C++: Inheritance and Encapsulation](https://www.coursera.org/learn/object-oriented-cpp) | Itm. | 9 | | | |
| C C++ | [**Coding for Everyone: C and C++**](https://www.coursera.org/specializations/coding-for-everyone) | Bgn. | 53 | ○ | × | University of California, Santa Cruz |
| | · [C for Everyone: Programming Fundamentals](https://www.coursera.org/learn/c-for-everyone) | Bgn. | 15 | | | |
| | · [C for Everyone: Structured Programming](https://www.coursera.org/learn/c-structured-programming) | Itm. | 10 | | | |
| | · [C++ For C Programmers, Part A](https://www.coursera.org/learn/c-plus-plus-a) | - | 13 | | | |
| | · [C++ For C Programmers, Part B](https://www.coursera.org/learn/c-plus-plus-b) | - | 15 | | | |
## [Coursera / Specialization : Programming Language - Python](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Python | [**Python for Everybody**](https://www.coursera.org/specializations/python) | Bgn. | 81 | ○ | ○ | University of Michigan |
| | · [Programming for Everybody (Getting Started with Python)](https://www.coursera.org/learn/python) | - | 19 | | | |
| | · [Python Data Structures](https://www.coursera.org/learn/python-data) | - | 19 | | | |
| | · [Using Python to Access Web Data](https://www.coursera.org/learn/python-network-data) | - | 19 | | | |
| | · [Using Databases with Python](https://www.coursera.org/learn/python-databases) | - | 15 | | | |
| | · [Capstone: Retrieving, Processing, and Visualizing Data with Python](https://www.coursera.org/learn/python-data-visualization) | - | 9 | | | |
| Python | [**Python 3 Programming**](https://www.coursera.org/specializations/python-3-programming) | Bgn. | 121 | ○ | △ | University of Michigan |
| | · [Python Basics](https://www.coursera.org/learn/python-basics) | Bgn. | 36 | | ○ | |
| | · [Python Functions, Files, and Dictionaries](https://www.coursera.org/learn/python-functions-files-dictionaries) | Bgn. | 31 | | ○ | |
| | · [Data Collection and Processing with Python](https://www.coursera.org/learn/data-collection-processing-python) | Itm. | 16 | | ○ | |
| | · [Python Classes and Inheritance](https://www.coursera.org/learn/python-classes-inheritance) | Itm. | 18 | | × | |
| | · [Python Project: pillow, tesseract, and opencv](https://www.coursera.org/learn/python-project) | Itm. | 20 | | × | |
| Python | [**Programming in Python: A Hands-on Introduction**](https://www.coursera.org/specializations/hands-on-python) | Bgn. | 40 | ○ | × | Codio |
| | · [Python Basics: Selection and Iteration](https://www.coursera.org/learn/codio-python-basics) | Bgn. | 9 | | | |
| | · [Python Basic Structures: Lists, Strings, and Files](https://www.coursera.org/learn/python-basic-structures-lists-strings-and-files) | Bgn. | 10 | | | |
| | · [Python Object Basics: Functions, Recursion, and Objects](https://www.coursera.org/learn/python-object-basics) | Itm. | 11 | | | |
| | · [Object-Oriented Python: Inheritance and Encapsulation](https://www.coursera.org/learn/object-oriented-python) | Itm. | 10 | | | |
| Python AWS NoSQL | [**Modern Application Development with Python on AWS**](https://www.coursera.org/specializations/aws-python-serverless-development) | Bgn. | 51 | ○ | × | Amazon Web Services |
| | · [AWS Cloud Technical Essentials](https://www.coursera.org/learn/aws-cloud-technical-essentials) | Bgn. | 16 | | | |
| | · [Building Modern Python Applications on AWS](https://www.coursera.org/learn/building-modern-python-applications-on-aws) | Itm. | 20 | | | |
| | · [Amazon DynamoDB: Building NoSQL Database-Driven Applications](https://www.coursera.org/learn/dynamodb-nosql-database-driven-apps) | Itm. | 10 | | | |
| | · [Improve Your Python Code Using Amazon CodeGuru](https://www.coursera.org/learn/aws-improve-python-code-amazon-codeguru) | Itm. | 5 | | | |
| Python Bash SQL | [**Python, Bash and SQL Essentials for Data Engineering**](https://www.coursera.org/specializations/python-bash-sql-data-engineering-duke) | Bgn. | 94 | ○ | × | Duke University |
| | · [Python and Pandas for Data Engineering](https://www.coursera.org/learn/python-and-pandas-for-data-engineering-duke) | Bgn. | 38 | | | |
| | · [Linux and Bash for Data Engineering](https://www.coursera.org/learn/linux-and-bash-for-data-engineering-duke) | Itm. | 22 | | | |
| | · [Scripting with Python and SQL for Data Engineering](https://www.coursera.org/learn/scripting-with-python-sql-for-data-engineering-duke) | Itm. | 19 | | | |
| | · [Web Applications and Command-Line Tools for Data Engineering](https://www.coursera.org/learn/web-app-command-line-tools-for-data-engineering-duke) | Itm. | 15 | | | |
| Python DevOps | [**Python Scripting for DevOps**](https://www.coursera.org/specializations/python-scripting-devops) | Bgn. | 59 | ○ | × | LearnQuest |
| | · [Introduction to Python Scripting for DevOps](https://www.coursera.org/learn/python-scripting-intro) | Bgn. | 18 | | | |
| | · [Python Scripting: Dates, Classes and Collections](https://www.coursera.org/learn/python-scripting-dates-classes-collections) | Bgn. | 15 | | | |
| | · [Python Scripting: Files, Inheritance, and Databases](https://www.coursera.org/learn/python-scripting-files-inheritance-databases) | Bgn. | 13 | | | |
| | · [DevOps and Build Automation with Python](https://www.coursera.org/learn/devops-build-automation-python) | Bgn. | 13 | | | |
| Python Django | [**Django for Everybody**](https://www.coursera.org/specializations/django) | Itm. | 63 | ○ | × | University of Michigan |
| | · [Web Application Technologies and Django](https://www.coursera.org/learn/django-database-web-apps) | Itm. | 15 | | | |
| | · [Building Web Applications in Django](https://www.coursera.org/learn/django-build-web-apps) | Itm. | 13 | | | |
| | · [Django Features and Libraries](https://www.coursera.org/learn/django-features-libraries) | Itm. | 16 | | | |
| | · [Using JavaScript, JQuery, and JSON in Django](https://www.coursera.org/learn/django-javascript-jquery-json) | Itm. | 19 | | | |
| Python Django | [**Advanced Django: Mastering Django and Django Rest Framework**](https://www.coursera.org/specializations/codio-advanced-django-and-django-rest-framework) | Adv. | 37 | ○ | × | Codio |
| | · [Advanced Django: Building a Blog](https://www.coursera.org/learn/codio-advanced-django-building-blog) | Adv. | 10 | | | |
| | · [Advanced Django: Introduction to Django Rest Framework](https://www.coursera.org/learn/codio-advanced-django-intro-drf) | Adv. | 9 | | | |
| | · [Advanced Django: Advanced Django Rest Framework](https://www.coursera.org/learn/codio-advanced-django-advanced-drf) | Adv. | 9 | | | |
| | · [Advanced Django: External APIs and Task Queuing](https://www.coursera.org/learn/codio-advanced-django-external-apis-task-queuing) | Adv. | 9 | | | |
## [Coursera / Specialization : Data Structure & Algorithms](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Data Structure & Algorithms (Any Languages) | [**Data Structures and Algorithms**](https://www.coursera.org/specializations/data-structures-algorithms) | Itm. | 184 | ○ | × | University of California San Diego |
| | · [Algorithmic Toolbox](https://www.coursera.org/learn/algorithmic-toolbox) | Itm. | 40 | | | |
| | · [Data Structures](https://www.coursera.org/learn/data-structures) | Itm. | 25 | | | |
| | · [Algorithms on Graphs](https://www.coursera.org/learn/algorithms-on-graphs) | Itm. | 55 | | | |
| | · [Algorithms on Strings](https://www.coursera.org/learn/algorithms-on-strings) | Itm. | 19 | | | |
| | · [Advanced Algorithms and Complexity](https://www.coursera.org/learn/advanced-algorithms-and-complexity) | Adv. | 27 | | | |
| | · [Genome Assembly Programming Challenge](https://www.coursera.org/learn/assembling-genomes) | Adv. | 18 | | | |
| Data Structure & Algorithms (Any Languages) | [**Algorithms**](https://www.coursera.org/specializations/algorithms) | Itm. | 61 | × | × | Stanford University |
| | · [Divide and Conquer, Sorting and Searching, and Randomized Algorithms](https://www.coursera.org/learn/algorithms-divide-conquer) | Itm. | 17 | | | |
| | · [Graph Search, Shortest Paths, and Data Structures](https://www.coursera.org/learn/algorithms-graphs-data-structures) | Itm. | 15 | | | |
| | · [Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming](https://www.coursera.org/learn/algorithms-greedy) | Itm. | 15 | | | |
| | · [Shortest Paths Revisited, NP-Complete Problems and What To Do About Them](https://www.coursera.org/learn/algorithms-npcomplete) | Itm. | 14 | | | |
| Data Structure & Algorithms (Python) | [**Data Science Foundations: Data Structures and Algorithms**](https://www.coursera.org/specializations/boulder-data-structures-algorithms) | Adv. | 106 | ○ | × | University of Colorado Boulder |
| | · [Algorithms for Searching, Sorting, and Indexing](https://www.coursera.org/learn/algorithms-searching-sorting-indexing) | Itm. | 34 | | | |
| | · [Trees and Graphs: Basics](https://www.coursera.org/learn/trees-graphs-basics) | Adv. | 34 | | | |
| | · [Dynamic Programming, Greedy Algorithms](https://www.coursera.org/learn/dynamic-programming-greedy-algorithms) | Adv. | 38 | | | |
| Data Structure & Algorithms (Any Languages) | [**Data Structures and Algorithms**](https://www.coursera.org/specializations/data-structures-algorithms-tsinghua) | Itm. | 115 | ○ | × | Tsinghua University |
| | · [Data Structures and Algorithms (I)](https://www.coursera.org/learn/data-structures-algorithms-1) | Itm. | 26 | | | |
| | · [Data Structures and Algorithms (II)](https://www.coursera.org/learn/data-structures-algorithms-2) | Itm. | 37 | | | |
| | · [Data Structures and Algorithms (III)](https://www.coursera.org/learn/data-structures-algorithms-3) | Itm. | 27 | | | |
| | · [Data Structures and Algorithms (IV)](https://www.coursera.org/learn/data-structures-algorithms-4) | Itm. | 25 | | | |
## [Coursera / Specialization : Cloud - AWS](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| AWS | [**AWS Fundamentals**](https://www.coursera.org/specializations/aws-fundamentals) | Bgn. | 39 | ○ | △ | Amazon Web Services |
| | · [AWS Cloud Technical Essentials](https://www.coursera.org/learn/aws-cloud-technical-essentials) | Bgn. | 16 | | × | |
| | · [AWS Fundamentals: Addressing Security Risk](https://www.coursera.org/learn/aws-fundamentals-addressing-security-risk) | Bgn. | 7 | | × | |
| | · [AWS Fundamentals: Migrating to the Cloud](https://www.coursera.org/learn/aws-fundamentals-cloud-migration) | Itm. | 4 | | ○ | |
| | · [AWS Fundamentals: Building Serverless Applications](https://www.coursera.org/learn/aws-fundamentals-building-serverless-applications) | Bgn. | 12 | | ○ | |
| AWS .NET | [**Modern Application Development with .NET on AWS**](https://www.coursera.org/specializations/aws-net-serverless-development) | Bgn. | 44 | ○ | × | Amazon Web Services |
| | · [AWS Cloud Technical Essentials](https://www.coursera.org/learn/aws-cloud-technical-essentials) | Bgn. | 16 | | | |
| | · [Building Modern .NET Applications on AWS](https://www.coursera.org/learn/aws-building-modern-net-applications) | Itm. | 18 | | | |
| | · [Amazon DynamoDB: Building NoSQL Database-Driven Applications](https://www.coursera.org/learn/dynamodb-nosql-database-driven-apps) | Itm. | 10 | | | |
| AWS Java | [**Modern Application Development with Java on AWS**](https://www.coursera.org/specializations/aws-java-serverless-development) | Bgn. | 51 | ○ | × | Amazon Web Services |
| | · [AWS Cloud Technical Essentials](https://www.coursera.org/learn/aws-cloud-technical-essentials) | Bgn. | 16 | | | |
| | · [Building Modern Java Applications on AWS](https://www.coursera.org/learn/building-modern-java-applications-on-aws) | Itm. | 19 | | | |
| | · [Amazon DynamoDB: Building NoSQL Database-Driven Applications](https://www.coursera.org/learn/dynamodb-nosql-database-driven-apps) | Itm. | 10 | | | |
| | · [Improve Your Java Code Using Amazon CodeGuru](https://www.coursera.org/learn/aws-improve-java-code-amazon-codeguru) | Itm. | 6 | | | |
| AWS Node.js | [**Modern Application Development with Node.js on AWS**](https://www.coursera.org/specializations/aws-nodejs-serverless-development) | Bgn. | 45 | ○ | × | Amazon Web Services |
| | · [AWS Cloud Technical Essentials](https://www.coursera.org/learn/aws-cloud-technical-essentials) | Bgn. | 16 | | | |
| | · [Building Modern Node.js Applications on AWS](https://www.coursera.org/learn/building-modern-node-applications-on-aws) | Itm. | 19 | | | |
| | · [Amazon DynamoDB: Building NoSQL Database-Driven Applications](https://www.coursera.org/learn/dynamodb-nosql-database-driven-apps) | Itm. | 10 | | | |
| AWS Python | [**Modern Application Development with Python on AWS**](https://www.coursera.org/specializations/aws-python-serverless-development) | Bgn. | 51 | ○ | × | Amazon Web Services |
| | · [AWS Cloud Technical Essentials](https://www.coursera.org/learn/aws-cloud-technical-essentials) | Bgn. | 16 | | | |
| | · [Building Modern Python Applications on AWS](https://www.coursera.org/learn/building-modern-python-applications-on-aws) | Itm. | 20 | | | |
| | · [Amazon DynamoDB: Building NoSQL Database-Driven Applications](https://www.coursera.org/learn/dynamodb-nosql-database-driven-apps) | Itm. | 10 | | | |
| | · [Improve Your Python Code Using Amazon CodeGuru](https://www.coursera.org/learn/aws-improve-python-code-amazon-codeguru) | Itm. | 5 | | | |
| AWS DevOps | [**DevOps on AWS**](https://www.coursera.org/specializations/aws-devops) | Itm. | 31 | ○ | × | Amazon Web Services |
| | · [AWS Cloud Technical Essentials](https://www.coursera.org/learn/aws-cloud-technical-essentials) | Bgn. | 16 | | | |
| | · [DevOps on AWS: Code, Build, and Test](https://www.coursera.org/learn/devops-aws-code-build-test) | Itm. | 5 | | | |
| | · [DevOps on AWS: Release and Deploy](https://www.coursera.org/learn/devops-aws-release-deploy) | Itm. | 5 | | | |
| | · [DevOps on AWS: Operate and Monitor](https://www.coursera.org/learn/devops-aws-operate-monitor) | Itm. | 5 | | | |
| AWS
Data Science | [**Practical Data Science on the AWS Cloud**](https://www.coursera.org/specializations/practical-data-science) | Adv. | 47 | × | × | Amazon Web Services
DeepLearning.AI |
| | · [Analyze Datasets and Train ML Models using AutoML](https://www.coursera.org/learn/automl-datasets-ml-models) | Adv. | 19 | | | |
| | · [Build, Train, and Deploy ML Pipelines using BERT](https://www.coursera.org/learn/ml-pipelines-bert) | Adv. | 14 | | | |
| | · [Optimize ML Models and Deploy Human-in-the-Loop Pipelines](https://www.coursera.org/learn/ml-models-human-in-the-loop-pipelines) | Adv. | 14 | | | |
## [Coursera / Specialization : Cloud - Azure](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Microsoft Azure | [**Microsoft Azure Fundamentals AZ-900 Exam Prep**](https://www.coursera.org/specializations/microsoft-azure-fundamentals-az-900) | Bgn. | 32 | ○ | × | Microsoft |
| | · [Introduction to Microsoft Azure Cloud Services](https://www.coursera.org/learn/microsoft-azure-cloud-services) | Bgn. | 10 | | | |
| | · [Microsoft Azure Management Tools and Security Solutions](https://www.coursera.org/learn/microsoft-azure-management-security) | Bgn. | 9 | | | |
| | · [Microsoft Azure Services and Lifecycles](https://www.coursera.org/learn/microsoft-azure-services-lifecycles) | Bgn. | 7 | | | |
| | · [Preparing for the AZ-900 Microsoft Azure Fundamentals Exam](https://www.coursera.org/learn/az-900-exam-prep) | Bgn. | 6 | | | |
| Microsoft Azure | [**Microsoft Azure Data Fundamentals DP-900 Exam Prep**](https://www.coursera.org/specializations/microsoft-azure-dp-900-data-fundamentals) | Bgn. | 37 | ○ | × | Microsoft |
| | · [Explore Core Data Concepts in Microsoft Azure](https://www.coursera.org/learn/explore-core-data-concepts-microsoft-azure) | Bgn. | 9 | | | |
| | · [Microsoft Azure SQL](https://www.coursera.org/learn/microsoft-azure-sql) | Bgn. | 7 | | | |
| | · [Microsoft Azure Cosmos DB](https://www.coursera.org/learn/microsoft-azure-cosmos-db) | Bgn. | 11 | | | |
| | · [Modern Data Warehouse Analytics in Microsoft Azure](https://www.coursera.org/learn/data-warehouse-analytics-microsoft-azure) | Bgn. | 4 | | | |
| | · [Preparing for DP-900: Microsoft Azure Data Fundamentals Exam](https://www.coursera.org/learn/microsoft-dp-900-exam-prep) | Bgn. | 6 | | | |
| Microsoft Azure | [**Microsoft Azure AI Fundamentals AI-900 Exam Prep**](https://www.coursera.org/specializations/microsoft-azure-ai-900-ai-fundamentals) | Bgn. | 41 | ○ | × | Microsoft |
| | · [Artificial Intelligence on Microsoft Azure](https://www.coursera.org/learn/artificial-intelligence-microsoft-azure) | Bgn. | 4 | | | |
| | · [Microsoft Azure Machine Learning](https://www.coursera.org/learn/microsoft-azure-machine-learning) | Bgn. | 11 | | | |
| | · [Computer Vision in Microsoft Azure](https://www.coursera.org/learn/computer-vision-microsoft-azure) | Bgn. | 8 | | | |
| | · [Natural Language Processing in Microsoft Azure](https://www.coursera.org/learn/nlp-microsoft-azure) | Bgn. | 8 | | | |
| | · [Preparing for AI-900: Microsoft Azure AI Fundamentals exam](https://www.coursera.org/learn/microsoft-ai-900-exam-prep) | Bgn. | 10 | | | |
## [Coursera / Specialization : Cloud - GCP](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| GCP | [**Developing Applications with Google**](https://www.coursera.org/specializations/developing-apps-gcp) | Itm. | 51 | ○ | × | Google Cloud |
| | · [Google Cloud Fundamentals: Core Infrastructure](https://www.coursera.org/learn/gcp-fundamentals) | Bgn. | 9 | | | |
| | · [Getting Started With Application Development](https://www.coursera.org/learn/getting-started-app-development) | Itm. | 18 | | | |
| | · [Securing and Integrating Components of your Application](https://www.coursera.org/learn/securing-integrating-components-app) | Itm. | 15 | | | |
| | · [App Deployment, Debugging, and Performance](https://www.coursera.org/learn/app-deployment-debugging-performance) | Itm. | 9 | | | |
| GCP | [**Data Engineering, Big Data, and Machine Learning on GCP**](https://www.coursera.org/specializations/gcp-data-machine-learning) | Itm. | 50 | ○ | × | Google Cloud |
| | · [Google Cloud Big Data and Machine Learning Fundamentals](https://www.coursera.org/learn/gcp-big-data-ml-fundamentals) | Bgn. | 10 | | | |
| | · [Modernizing Data Lakes and Data Warehouses with Google Cloud](https://www.coursera.org/learn/data-lakes-data-warehouses-gcp) | Itm. | 7 | | | |
| | · [Building Batch Data Pipelines on GCP](https://www.coursera.org/learn/batch-data-pipelines-gcp) | Itm. | 17 | | | |
| | · [Building Resilient Streaming Analytics Systems on Google Cloud](https://www.coursera.org/learn/streaming-analytics-systems-gcp) | Itm. | 8 | | | |
| | · [Smart Analytics, Machine Learning, and AI on GCP](https://www.coursera.org/learn/smart-analytics-machine-learning-ai-gcp) | Itm. | 8 | | | |
| GCP | [**Advanced Machine Learning on Google Cloud**](https://www.coursera.org/specializations/advanced-machine-learning-tensorflow-gcp) | Adv. | 74 | ○ | × | Google Cloud |
| | · [End-to-End Machine Learning with TensorFlow on GCP](https://www.coursera.org/learn/end-to-end-ml-tensorflow-gcp) | Adv. | 13 | | | |
| | · [Production Machine Learning Systems](https://www.coursera.org/learn/gcp-production-ml-systems) | Adv. | 21 | | | |
| | · [Image Understanding with TensorFlow on GCP](https://www.coursera.org/learn/image-understanding-tensorflow-gcp) | Adv. | 12 | | | |
| | · [Sequence Models for Time Series and Natural Language Processing](https://www.coursera.org/learn/sequence-models-tensorflow-gcp) | Adv. | 15 | | | |
| | · [Recommendation Systems with TensorFlow on GCP](https://www.coursera.org/learn/recommendation-models-gcp) | Adv. | 13 | | | |
| GCP | [**Developing APIs with Google Cloud's Apigee API Platform**](https://www.coursera.org/specializations/apigee-api-gcp) | Itm. | 31 | ○ | × | Google Cloud |
| | · [API Design and Fundamentals of Google Cloud's Apigee API Platform](https://www.coursera.org/learn/api-design-apigee-gcp) | Bgn. | 8 | | | |
| | · [API Security on Google Cloud's Apigee API Platform](https://www.coursera.org/learn/api-security-apigee-gcp) | Bgn. | 8 | | | |
| | · [API Development on Google Cloud's Apigee API Platform](https://www.coursera.org/learn/api-development-apigee-gcp) | Bgn. | 15 | | | |
## [Coursera / Specialization : Game Programming](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Unity | [**C# Programming for Unity Game Development**](https://www.coursera.org/specializations/programming-unity-game-development) | Bgn. | 123 | ○ | × | University of Colorado System |
| | · [Introduction to C# Programming and Unity](https://www.coursera.org/learn/introduction-programming-unity) | Bgn. | 19 | | | |
| | · [More C# Programming and Unity](https://www.coursera.org/learn/more-programming-unity) | Itm. | 22 | | | |
| | · [C# Class Development](https://www.coursera.org/learn/csharp-class-development) | Itm. | 28 | | | |
| | · [Intermediate Object-Oriented Programming for Unity Games](https://www.coursera.org/learn/intermediate-object-oriented-programming-unity-games) | Itm. | 54 | | | |
| Unity | [**Game Design and Development with Unity 2020**](https://www.coursera.org/specializations/game-design-and-development) | Bgn. | 71 | ○ | × | Michigan State University |
| | · [Game Design and Development 1: 2D Shooter](https://www.coursera.org/learn/game-design-and-development-1) | Bgn. | 15 | | | |
| | · [Game Design and Development 2: 2D Platformer](https://www.coursera.org/learn/game-design-and-development-2) | Itm. | 12 | | | |
| | · [Game Design and Development 3: 3D Shooter](https://www.coursera.org/learn/game-design-and-development-3) | Itm. | 14 | | | |
| | · [Game Design and Development 4: 3D Platformer](https://www.coursera.org/learn/game-design-and-development-4) | Itm. | 13 | | | |
| | · [Game Design and Development 5: Capstone Project](https://www.coursera.org/learn/game-design-and-development-5) | Itm. | 17 | | | |
| Unreal | [**C++ Programming for Unreal Game Development**](https://www.coursera.org/specializations/cplusplusunrealgamedevelopment) | Itm. | 72 | ○ | × | University of Colorado System |
| | · [Introduction to C++ Programming and Unreal](https://www.coursera.org/learn/introductionprogrammingunreal) | Itm. | 20 | | | |
| | · [More C++ Programming and Unreal](https://www.coursera.org/learn/more-programming-unreal) | Itm. | 18 | | | |
| | · [C++ Class Development](https://www.coursera.org/learn/cpp-class-development) | Itm. | 18 | | | |
| | · [Intermediate Object-Oriented Programming for Unreal Games](https://www.coursera.org/learn/intermediate-object-oriented-programming--unreal-games) | Itm. | 16 | | | |
| Game Design | [**Game Design: Art and Concepts**](https://www.coursera.org/specializations/game-design) | Bgn. | 51 | ○ | × | California Institute of the Arts |
| | · [Introduction to Game Design](https://www.coursera.org/learn/game-design) | Bgn. | 6 | | | |
| | · [Story and Narrative Development for Video Games](https://www.coursera.org/learn/video-game-story) | Bgn. | 12 | | | |
| | · [World Design for Video Games](https://www.coursera.org/learn/video-game-world) | Bgn. | 8 | | | |
| | · [Character Design for Video Games](https://www.coursera.org/learn/game-character-design) | Bgn. | 9 | | | |
| | · [Game Design Document: Define the Art & Concepts](https://www.coursera.org/learn/game-design-document) | Itm. | 16 | | | |
| Game Design | [**Art for Games**](https://www.coursera.org/specializations/art-for-games) | Bgn. | 47 | ○ | × | Michigan State University |
| | · [Pixel Art for Video Games](https://www.coursera.org/learn/pixel-art-video-games) | Bgn. | 9 | | | |
| | · [Low Poly Art For Video Games](https://www.coursera.org/learn/low-poly-art-video-games) | Itm. | 17 | | | |
| | · [Current Gen 3D Game Prop Production](https://www.coursera.org/learn/3d-game-prop-production) | Itm. | 15 | | | |
| | · [Concept Art for Video Games](https://www.coursera.org/learn/concept-art-video-games) | - | 6 | | | |
## [Coursera / Specialization : Mathematics](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Math | [**Algebra: Elementary to Advanced**](https://www.coursera.org/specializations/algebra-elementary-to-advanced) | Bgn. | 25 | ○ | × | Johns Hopkins University |
| | · [Algebra: Elementary to Advanced - Equations & Inequalities](https://www.coursera.org/learn/algebra-i) | Bgn. | 10 | | | |
| | · [Algebra: Elementary to Advanced - Functions & Applications](https://www.coursera.org/learn/algebra-ii) | Bgn. | 6 | | | |
| | · [Algebra: Elementary to Advanced - Polynomials and Roots](https://www.coursera.org/learn/polynomials-roots) | Bgn. | 9 | | | |
| Math Python | [**Mathematics for Machine Learning**](https://www.coursera.org/specializations/mathematics-machine-learning) | Bgn. | 55 | ○ | × | Imperial College London |
| | · [Mathematics for Machine Learning: Linear Algebra](https://www.coursera.org/learn/linear-algebra-machine-learning) | Bgn. | 19 | | | |
| | · [Mathematics for Machine Learning: Multivariate Calculus](https://www.coursera.org/learn/multivariate-calculus-machine-learning) | Bgn. | 18 | | | |
| | · [Mathematics for Machine Learning: PCA](https://www.coursera.org/learn/pca-machine-learning) | Itm. | 18 | | | |
| Math | [**Expressway to Data Science: Essential Math**](https://www.coursera.org/specializations/expressway-to-data-science-essential-math)
* [Associated with the Master of Science in Data Science degree](https://www.coursera.org/degrees/master-of-science-data-science-boulder) | Itm. | 20 | ○ | × | University of Colorado Boulder |
| | · [Algebra and Differential Calculus for Data Science](https://www.coursera.org/learn/algebra-and-differential-calculus-for-data-science) | Itm. | 8 | | | |
| | · [Essential Linear Algebra for Data Science](https://www.coursera.org/learn/essential-linear-algebra-for-data-science) | Itm. | 8 | | | |
| | · [Integral Calculus and Numerical Analysis for Data Science](https://www.coursera.org/learn/integral-calculus-and-numerical-analysis-for-data-science) | Itm. | 4 | | | |
| Math MATLAB | [**Mathematics for Engineers**](https://www.coursera.org/specializations/mathematics-engineers) | Bgn. | 127 | ○ | × | The Hong Kong University of Science and Technology |
| | · [Matrix Algebra for Engineers](https://www.coursera.org/learn/matrix-algebra-engineers) | Bgn. | 20 | | | |
| | · [Differential Equations for Engineers](https://www.coursera.org/learn/differential-equations-engineers) | Bgn. | 27 | | | |
| | · [Vector Calculus for Engineers](https://www.coursera.org/learn/vector-calculus-engineers) | Bgn. | 28 | | | |
| | · [Numerical Methods for Engineers](https://www.coursera.org/learn/numerical-methods-engineers) | Itm. | 42 | | | |
| | · [Mathematics for Engineers: The Capstone Course](https://www.coursera.org/learn/mathematics-engineers-capstone) | Itm. | 10 | | | |
| Math MATLAB | [**Practical Data Science with MATLAB**](https://www.coursera.org/specializations/practical-data-science-matlab) | Bgn. | 72 | ○ | × | MathWorks |
| | · [Exploratory Data Analysis with MATLAB](https://www.coursera.org/learn/exploratory-data-analysis-matlab) | Bgn. | 19 | | | |
| | · [Data Processing and Feature Engineering with MATLAB](https://www.coursera.org/learn/feature-engineering-matlab) | Itm. | 18 | | | |
| | · [Predictive Modeling and Machine Learning with MATLAB](https://www.coursera.org/learn/predictive-modeling-machine-learning) | Itm. | 22 | | | |
| | · [Data Science Project: MATLAB for the Real World](https://www.coursera.org/learn/matlab-capstone) | Itm. | 13 | | | |
## [Coursera / Specialization : Statistics](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Excel | [**Business Statistics and Analysis**](https://www.coursera.org/specializations/business-statistics-analysis) | Bgn. | 101 | ○ | × | Rice University |
| | · [Introduction to Data Analysis Using Excel](https://www.coursera.org/learn/excel-data-analysis) | - | 20 | | | |
| | · [Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions](https://www.coursera.org/learn/descriptive-statistics-statistical-distributions-business-application) | - | 21 | | | |
| | · [Business Applications of Hypothesis Testing and Confidence Interval Estimation](https://www.coursera.org/learn/hypothesis-testing-confidence-intervals) | - | 25 | | | |
| | · [Linear Regression for Business Statistics](https://www.coursera.org/learn/linear-regression-business-statistics) | - | 28 | | | |
| | · [Business Statistics and Analysis Capstone](https://www.coursera.org/learn/business-statistics-analysis-capstone) | - | 7 | | | |
| Python | [**Statistics with Python**](https://www.coursera.org/specializations/statistics-with-python) | Bgn. | 55 | ○ | ○ | University of Michigan |
| | · [Understanding and Visualizing Data with Python](https://www.coursera.org/learn/understanding-visualization-data) | Bgn. | 21 | | | |
| | · [Inferential Statistical Analysis with Python](https://www.coursera.org/learn/inferential-statistical-analysis-python) | Itm. | 19 | | | |
| | · [Fitting Statistical Models to Data with Python](https://www.coursera.org/learn/fitting-statistical-models-data-python) | Itm. | 15 | | | |
| R | [**Data Science: Statistics and Machine Learning**](https://www.coursera.org/specializations/data-science-statistics-machine-learning) | Itm. | 133 | ○ | ○ | Johns Hopkins University |
| | · [Statistical Inference](https://www.coursera.org/learn/statistical-inference) | - | 54 | | | |
| | · [Regression Models](https://www.coursera.org/learn/regression-models) | - | 54 | | | |
| | · [Practical Machine Learning](https://www.coursera.org/learn/practical-machine-learning) | - | 9 | | | |
| | · [Developing Data Products](https://www.coursera.org/learn/data-products) | - | 10 | | | |
| | · [Data Science Capstone](https://www.coursera.org/learn/data-science-project) | - | 6 | | | |
| R | [**Bayesian Statistics Specialization**](https://www.coursera.org/specializations/bayesian-statistics) | Itm. | 98 | ○ | × | University of California, Santa Cruz |
| | · [Bayesian Statistics: From Concept to Data Analysis](https://www.coursera.org/learn/bayesian-statistics) | Itm. | 12 | | | |
| | · [Bayesian Statistics: Techniques and Models](https://www.coursera.org/learn/mcmc-bayesian-statistics) | Itm. | 30 | | | |
| | · [Bayesian Statistics: Mixture Models](https://www.coursera.org/learn/mixture-models) | Itm. | 22 | | | |
| | · [Bayesian Statistics: Time Series Analysis](https://www.coursera.org/learn/bayesian-statistics-time-series-analysis) | Itm. | 22 | | | |
| | · [Bayesian Statistics: Capstone Project](https://www.coursera.org/learn/bayesian-statistics-capstone) | Adv. | 12 | | | |
| R | [**Advanced Statistics for Data Science**](https://www.coursera.org/specializations/advanced-statistics-data-science) | Adv. | 39 | ○ | × | Johns Hopkins University |
| | · [Mathematical Biostatistics Boot Camp 1](https://www.coursera.org/learn/biostatistics) | - | 13 | | | |
| | · [Mathematical Biostatistics Boot Camp 2](https://www.coursera.org/learn/biostatistics-2) | - | 12 | | | |
| | · [Advanced Linear Models for Data Science 1: Least Squares](https://www.coursera.org/learn/linear-models) | Adv. | 8 | | | |
| | · [Advanced Linear Models for Data Science 2: Statistical Linear Models](https://www.coursera.org/learn/linear-models-2) | Adv. | 6 | | | |
## [Coursera / Specialization : Data Science - Python](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Python | [**Applied Data Science with Python**](https://www.coursera.org/specializations/data-science-python) | Itm. | 143 | ○ | ○ | University of Michigan |
| | · [Introduction to Data Science in Python](https://www.coursera.org/learn/python-data-analysis) | Itm. | 31 | | | |
| | · [Applied Plotting, Charting & Data Representation in Python](https://www.coursera.org/learn/python-plotting) | Itm. | 20 | | | |
| | · [Applied Machine Learning in Python](https://www.coursera.org/learn/python-machine-learning) | Itm. | 34 | | | |
| | · [Applied Text Mining in Python](https://www.coursera.org/learn/python-text-mining) | Itm. | 29 | | | |
| | · [Applied Social Network Analysis in Python](https://www.coursera.org/learn/python-social-network-analysis) | Itm. | 29 | | | |
| Python | [**Data Science Fundamentals with Python and SQL**](https://www.coursera.org/specializations/data-science-fundamentals-python-sql) | Bgn. | 101 | × | △ | IBM |
| | · [Tools for Data Science](https://www.coursera.org/learn/open-source-tools-for-data-science) | Bgn. | 20 | | × | |
| | · [Python for Data Science, AI & Development](https://www.coursera.org/learn/python-for-applied-data-science-ai) | Bgn. | 22 | | ○ | |
| | · [Python Project for Data Science](https://www.coursera.org/learn/python-project-for-data-science) | Itm. | 8 | | × | |
| | · [Statistics for Data Science with Python](https://www.coursera.org/learn/statistics-for-data-science-python) | - | 14 | | × | |
| (SQL) | · [Databases and SQL for Data Science with Python](https://www.coursera.org/learn/sql-data-science) | Bgn. | 37 | | × | |
| Python | [**Applied Data Science**](https://www.coursera.org/specializations/applied-data-science) | Bgn. | 69 | × | △ | IBM |
| | · [Python for Data Science, AI & Development](https://www.coursera.org/learn/python-for-applied-data-science-ai) | Bgn. | 19 | | ○ | |
| | · [Python Project for Data Science](https://www.coursera.org/learn/python-project-for-data-science) | Itm. | 7 | | ○ | |
| | · [Data Analysis with Python](https://www.coursera.org/learn/data-analysis-with-python) | Bgn. | 15 | | × | |
| | · [Data Visualization with Python](https://www.coursera.org/learn/python-for-data-visualization) | Itm. | 17 | | ○ | |
| | · [Applied Data Science Capstone](https://www.coursera.org/learn/applied-data-science-capstone) | Itm. | 11 | | × | |
## [Coursera / Specialization : Data Science - R](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| R | [**Data Science: Foundations using R**](https://www.coursera.org/specializations/data-science-foundations-r) | Bgn. | 158 | ○ | ○ | Johns Hopkins University |
| (Git) | · [The Data Scientist’s Toolbox](https://www.coursera.org/learn/data-scientists-tools) | - | 18 | | | |
| | · [R Programming](https://www.coursera.org/learn/r-programming) | Itm. | 57 | | | |
| | · [Getting and Cleaning Data](https://www.coursera.org/learn/data-cleaning) | - | 20 | | | |
| | · [Exploratory Data Analysis](https://www.coursera.org/learn/exploratory-data-analysis) | - | 55 | | | |
| | · [Reproducible Research](https://www.coursera.org/learn/reproducible-research) | - | 8 | | | |
| R | [**Data Visualization & Dashboarding with R**](https://www.coursera.org/specializations/jhu-data-visualization-dashboarding-with-r) | Bgn. | 70 | ○ | × | Johns Hopkins University |
| | · [Getting Started with Data Visualization in R](https://www.coursera.org/learn/jhu-getting-started-data-viz-r) | Bgn. | 12 | | | |
| | · [Data Visualization in R with ggplot2](https://www.coursera.org/learn/jhu-data-visualization-r) | Itm. | 13 | | | |
| | · [Advanced Data Visualization with R](https://www.coursera.org/learn/jhu-advanced-data-visualization-r) | - | 11 | | | |
| (Shiny) | · [Publishing Visualizations in R with Shiny and flexdashboard](https://www.coursera.org/learn/data-viz-shiny-dashboards) | - | 12 | | | |
| | · [Data Visualization Capstone](https://www.coursera.org/learn/data-visualization-capstone) | - | 22 | | | |
| R | [**Applied Data Science with R**](https://www.coursera.org/specializations/applied-data-science-r) | Bgn. | 69 | × | × | IBM |
| | · [Introduction to R Programming for Data Science](https://www.coursera.org/learn/introducton-r-programming-data-science) | Bgn. | 11 | | | |
| (SQL) | · [SQL for Data Science with R](https://www.coursera.org/learn/sql-data-science-r) | Bgn. | 17 | | | |
| | · [Data Analysis with R](https://www.coursera.org/learn/data-analysis-with-r) | Itm. | 15 | | | |
| (Shiny) | · [Data Visualization with R](https://www.coursera.org/learn/data-visualization-r) | Bgn. | 10 | | | |
| | · [Data Science with R - Capstone Project](https://www.coursera.org/learn/data-science-with-r-capstone-project) | Itm. | 16 | | | |
## [Coursera / Specialization : Data Science - SAS](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| SAS | [**Machine Learning Rock Star – the End-to-End Practice**](https://www.coursera.org/specializations/machine-learning-for-everyone) | Bgn. | 44 | | × | SAS |
| | · [The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats](https://www.coursera.org/learn/the-power-of-machine-learning) | Bgn. | 14 | | | |
| | · [Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership](https://www.coursera.org/learn/launching-machine-learning-leadership) | Bgn. | 13 | | | |
| | · [Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls](https://www.coursera.org/learn/machine-learning-under-the-hood) | Bgn. | 17 | | | |
| SAS | [**Analyzing Time Series and Sequential Data**](https://www.coursera.org/specializations/time-series-sequential-data) | Itm. | 27 | | × | SAS |
| | · [Creating Features for Time Series Data](https://www.coursera.org/learn/time-series-features) | Itm. | 7 | | | |
| | · [Building a Large-Scale, Automated Forecasting System](https://www.coursera.org/learn/large-scale-forecasting-sas-viya) | Itm. | 10 | | | |
| | · [Modeling Time Series and Sequential Data](https://www.coursera.org/learn/modeling-time-series-and-sequential-data) | Itm. | 10 | | | |
| SAS | [**Distributed Programming in SAS® Viya® for Data Analysts**](https://www.coursera.org/specializations/distributed-programming-sas-viya-for-data-analysts) | Adv. | 54 | | × | SAS |
| | · [SAS® Programming for Distributed Computing in SAS® Viya®](https://www.coursera.org/learn/sas-viya-programming-distributed-computing) | Adv. | 13 | | | |
| | · [CASL Programming for Distributed Computing in SAS® Viya®](https://www.coursera.org/learn/casl-programming-sas-viya-distributed-computing) | Adv. | 29 | | | |
| | · [Preparing for the SAS® Viya® Programming Certification Exam](https://www.coursera.org/learn/sas-viya-programming-certification-prep) | Adv. | 12 | | | |
## [Coursera / Specialization : Excel](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Excel | [**Excel Skills for Business**](https://www.coursera.org/specializations/excel) | Bgn. | 106 | ○ | ○ | Macquarie University |
| | · [Excel Skills for Business: Essentials](https://www.coursera.org/learn/excel-essentials) | Bgn. | 26 | | | |
| | · [Excel Skills for Business: Intermediate I](https://www.coursera.org/learn/excel-intermediate-1) | Itm. | 27 | | | |
| (VBA) | · [Excel Skills for Business: Intermediate II](https://www.coursera.org/learn/excel-intermediate-2) | Itm. | 28 | | | |
| | · [Excel Skills for Business: Advanced](https://www.coursera.org/learn/excel-advanced) | Itm. | 25 | | | |
| Excel | [**Excel Skills for Data Analytics and Visualization**](https://www.coursera.org/specializations/excel-data-analytics-visualization) | Itm. | 47 | ○ | ○ | Macquarie University |
| | · [Excel Fundamentals for Data Analysis](https://www.coursera.org/learn/excel-data-analysis-fundamentals) | Itm. | 15 | | | |
| | · [Data Visualization in Excel](https://www.coursera.org/learn/excel-data-visualization) | Itm. | 17 | | | |
| (Power BI) | · [Excel Power Tools for Data Analysis](https://www.coursera.org/learn/excel-power-tools) | Itm. | 15 | | | |
| Excel | [**Excel Skills for Business Forecasting**](https://www.coursera.org/specializations/excel-skills-for-business-forecasting) | Itm. | 30 | ○ | ○ | Macquarie University |
| | · [Excel Time Series Models for Business Forecasting](https://www.coursera.org/learn/excel-business-forecasting-time-series) | Itm. | 11 | | | |
| | · [Excel Regression Models for Business Forecasting](https://www.coursera.org/learn/excel-business-forecasting-regression) | Itm. | 9 | | | |
| | · [Judgmental Business Forecasting in Excel](https://www.coursera.org/learn/judgmental-business-forecasting-in-excel) | Itm. | 10 | | | |
| Excel | [**Everyday Excel**](https://www.coursera.org/specializations/everyday-excel) | Bgn. | 59 | ○ | ○ | University of Colorado Boulder |
| | · [Everyday Excel, Part 1](https://www.coursera.org/learn/everyday-excel-part-1) | Bgn. | 23 | | | |
| | · [Everyday Excel, Part 2](https://www.coursera.org/learn/everyday-excel-part-2) | Itm. | 22 | | | |
| | · [Everyday Excel, Part 3 (Projects)](https://www.coursera.org/learn/everyday-excel-projects) | Adv. | 14 | | | |
| Excel
VBA | [**Excel/VBA for Creative Problem Solving**](https://www.coursera.org/specializations/excel-vba-creative-problem-solving) | Bgn. | 55 | ○ | ○ | University of Colorado Boulder |
| | · [Excel/VBA for Creative Problem Solving, Part 1](https://www.coursera.org/learn/excel-vba-for-creative-problem-solving-part-1) | Bgn. | 19 | | | |
| | · [Excel/VBA for Creative Problem Solving, Part 2](https://www.coursera.org/learn/excel-vba-for-creative-problem-solving-part-2) | Itm. | 20 | | | |
| | · [Excel/VBA for Creative Problem Solving, Part 3 (Projects)](https://www.coursera.org/learn/excel-vba-for-creative-problem-solving-part-3-projects) | Adv. | 16 | | | |
| Excel | [**Data Analysis and Presentation Skills: the PwC Approach**](https://www.coursera.org/specializations/pwc-analytics) | Bgn. | 64 | × | ○ | PwC |
| | · [Data-driven Decision Making](https://www.coursera.org/learn/decision-making) | Bgn. | 9 | | | |
| | · [Problem Solving with Excel](https://www.coursera.org/learn/excel-analysis) | Bgn. | 20 | | | |
| | · [Data Visualization with Advanced Excel](https://www.coursera.org/learn/advanced-excel) | Bgn. | 15 | | | |
| | · [Effective Business Presentations with Powerpoint](https://www.coursera.org/learn/powerpoint-presentations) | Bgn. | 10 | | | |
| (PowerPoint) | · [Data Analysis and Presentation Skills: the PwC Approach Final Project](https://www.coursera.org/learn/data-analysis-project-pwc) | Bgn. | 10 | | | |
| Excel | [**Data Skills for Excel Professionals**](https://www.coursera.org/specializations/data-skills-for-excel) | Bgn. | 14 | ○ | × | Corporate Finance Institute |
| | · [Fundamentals of Data Analysis in Excel](https://www.coursera.org/learn/excel-data-analysis-course) | Bgn. | 5 | | | |
| | · [Power Query Fundamentals](https://www.coursera.org/learn/power-query-fundamentals) | Bgn. | 5 | | | |
| | · [Power Pivot Fundamentals](https://www.coursera.org/learn/learn-power-pivot) | Bgn. | 4 | | | |
## [Coursera / Specialization : RPA](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| UiPath | [**Robotic Process Automation (RPA)**](https://www.coursera.org/specializations/roboticprocessautomation) | Bgn. | 48 | ○ | ○ | UiPath |
| | · [RPA Basics and Introduction to UiPath](https://www.coursera.org/learn/rpa-basics-and-introduction-to-uipath) | Bgn. | 6 | | | |
| | · [Data Manipulation in RPA](https://www.coursera.org/learn/data-manipulation-in-rpa) | Bgn. | 9 | | | |
| | · [UI Automation and Selectors](https://www.coursera.org/learn/ui-automation-and-selectors) | Bgn. | 8 | | | |
| | · [Control Flow in RPA](https://www.coursera.org/learn/control-flow-in-rpa) | Bgn. | 10 | | | |
| | · [Automation Techniques in RPA](https://www.coursera.org/learn/automation-techniques-in-rpa) | Bgn. | 9 | | | |
| | · [UiPath Orchestrator and Capstone Projects](https://www.coursera.org/learn/uipath-orchestrator-and-capstone-projects) | Bgn. | 6 | | | |
| Automation Anywhere | [**Implementing RPA with Cognitive Automation and Analytics**](https://www.coursera.org/specializations/rpa-cognitive-analytics) | Bgn. | 23 | × | ○ | Automation Anywhere |
| | · [RPA Lifecycle: Introduction, Discovery and Design](https://www.coursera.org/learn/rpa-introduction) | Bgn. | 4 | | | |
| | · [RPA Lifecycle: Development and Testing](https://www.coursera.org/learn/rpa-development-testing) | Bgn. | 9 | | | |
| | · [RPA Lifecycle: Deployment and Maintenance](https://www.coursera.org/learn/rpa-deployment-maintenance) | Bgn. | 6 | | | |
| | · [Cognitive Solutions and RPA Analytics](https://www.coursera.org/learn/cognitive-solutions-rpa-analytics) | Bgn. | 4 | | | |
## [Coursera / Specialization : Electronic Engineering](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Electromagnetism | [**Electrodynamics**](https://www.coursera.org/specializations/electrodynamics) | Itm. | 55 | ○ | × | Korea Advanced Institute of Science and Technology |
| | · [Electrodynamics: An Introduction](https://www.coursera.org/learn/electrodynamics-introduction) | Itm. | 13 | | | |
| | · [Electrodynamics: Analysis of Electric Fields](https://www.coursera.org/learn/electrodynamics-analysis-of-electric-fields) | Adv. | 11 | | | |
| | · [Electrodynamics: Electric and Magnetic Fields](https://www.coursera.org/learn/electrodynamics-electric-magnetic-fields) | Adv. | 12 | | | |
| | · [Electrodynamics: In-depth Solutions for Maxwell’s Equations](https://www.coursera.org/learn/electrodynamics-solutions-maxwells-equations) | Adv. | 19 | | | |
| Electromagnetism | [**Introduction to Electricity and Magnetism**](https://www.coursera.org/specializations/introduction-to-electricity-magnetism) | Itm. | 88 | ○ | × | Rice University |
| | · [Physics 102 - Electric Charges and Fields](https://www.coursera.org/learn/physics-102-electric-charges-fields) | Itm. | 22 | | | |
| | · [Physics 102 - Electric Potential and DC Circuits](https://www.coursera.org/learn/physics-102-electric-potential-and-dc-circuits) | Itm. | 22 | | | |
| | · [Physics 102 - Magnetic Fields and Faraday's Law](https://www.coursera.org/learn/physics-102-magnetic-fields-faradays-law) | Itm. | 26 | | | |
| | · [Physics 102 - AC Circuits and Maxwell's Equations](https://www.coursera.org/learn/physics-102-ac-circuits-maxwell-equations) | Itm. | 18 | | | |
| Semiconductor | [**Semiconductor Devices**](https://www.coursera.org/specializations/semiconductor-devices) | Adv. | 43 | ○ | × | University of Colorado Boulder |
| | · [Semiconductor Physics](https://www.coursera.org/learn/semiconductor-physics) | Adv. | 15 | | | |
| | · [Diode - pn Junction and Metal Semiconductor Contact](https://www.coursera.org/learn/diode-pn-junction-metal-semiconductor-contact) | Adv. | 16 | | | |
| | · [Transistor - Field Effect Transistor and Bipolar Junction Transistor](https://www.coursera.org/learn/transistor-field-effect-transistor-bipolar-junction-transistor) | Adv. | 12 | | | |
| Semiconductor
VHDL Verilog | [**FPGA Design for Embedded Systems**](https://www.coursera.org/specializations/fpga-design) | Itm. | 93 | ○ | × | University of Colorado Boulder |
| | · [Introduction to FPGA Design for Embedded Systems](https://www.coursera.org/learn/intro-fpga-design-embedded-systems) | Itm. | 18 | | | |
| | · [Hardware Description Languages for FPGA Design](https://www.coursera.org/learn/fpga-hardware-description-languages) | Itm. | 36 | | | |
| | · [FPGA Softcore Processors and IP Acquisition](https://www.coursera.org/learn/fpga-softcore-proccessors-ip) | Itm. | 10 | | | |
| | · [FPGA Capstone: Building FPGA Projects](https://www.coursera.org/learn/capstone-fpga-design) | Itm. | 29 | | | |
## [Coursera / Specialization : Investment](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Investment | [**Investment Management**](https://www.coursera.org/specializations/investment-management) | Bgn. | 49 | ○ | × | University of Geneva |
| | · [Understanding Financial Markets](https://www.coursera.org/learn/understanding-financial-markets) | Bgn. | 11 | | | |
| | · [Meeting Investors' Goals](https://www.coursera.org/learn/meeting-investors-goals) | - | 9 | | | |
| | · [Portfolio and Risk Management](https://www.coursera.org/learn/portfolio-risk-management) | - | 8 | | | |
| | · [Securing Investment Returns in the Long Run](https://www.coursera.org/learn/investment-returns-long-run) | - | 8 | | | |
| | · [Planning your Client's Wealth over a 5-year Horizon](https://www.coursera.org/learn/wealth-planning-capstone) | - | 13 | | | |
| Investment | [**Investment and Portfolio Management**](https://www.coursera.org/specializations/investment-portolio-management) | Bgn. | 84 | ○ | × | Rice University |
| | · [Global Financial Markets and Instruments](https://www.coursera.org/learn/global-financial-markets-instruments) | - | 20 | | | |
| | · [Portfolio Selection and Risk Management](https://www.coursera.org/learn/portfolio-selection-risk-management) | - | 23 | | | |
| | · [Biases and Portfolio Selection](https://www.coursera.org/learn/biases-portfolio-selection) | - | 16 | | | |
| | · [Investment Strategies and Portfolio Analysis](https://www.coursera.org/learn/investment-strategies-portfolio-analysis) | - | 15 | | | |
| | · [Capstone: Build a Winning Investment Portfolio](https://www.coursera.org/learn/investment-portfolio-management-capstone) | - | 10 | | | |
| Investment | [**Trading Strategies in Emerging Markets**](https://www.coursera.org/specializations/trading-strategy) | Bgn. | 62 | ○ | × | Indian School of Business |
| | · [Trading Basics](https://www.coursera.org/learn/trading-basics) | Bgn. | 8 | | | |
| | · [Trading Algorithms](https://www.coursera.org/learn/trading-algorithm) | Itm. | 12 | | | |
| | · [Advanced Trading Algorithms](https://www.coursera.org/learn/advanced-trading-algorithms) | Itm. | 11 | | | |
| | · [Creating a Portfolio](https://www.coursera.org/learn/investment-portfolio) | Bgn. | 10 | | | |
| | · [Design your own trading strategy – Culminating Project](https://www.coursera.org/learn/design-trading-strategy-culminating-project) | Itm. | 21 | | | |
| Investment | [**Practical Guide to Trading**](https://www.coursera.org/specializations/financial-instruments-trading-investing) | Bgn. | 57 | ○ | × | Interactive Brokers |
| | · [Fundamentals of Equities](https://www.coursera.org/learn/equities-fundamentals) | Bgn. | 12 | | | |
| | · [Forex - Trading Around the World](https://www.coursera.org/learn/forex-trading) | Bgn. | 13 | | | |
| | · [U.S. Bond Investing Basics](https://www.coursera.org/learn/fixed-income) | Bgn. | 16 | | | |
| | · [Derivatives - Options & Futures](https://www.coursera.org/learn/derivatives-options-futures) | Itm. | 16 | | | |
## [Coursera / Specialization : Investment - Python](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Investment (Python) | [**Data Science for Investment Professionals**](https://www.coursera.org/specializations/data-science-investment-professionals) | Bgn. | 56 | ○ | × | CFA Institute |
| | · [Data and Statistics Foundation for Investment Professionals](https://www.coursera.org/learn/data-statistics-foundation-investment) | Bgn. | 21 | | | |
| | · [Statistics for Machine Learning for Investment Professionals](https://www.coursera.org/learn/statistics-machine-learning-investment) | Bgn. | 18 | | | |
| | · [Machine Learning for Investment Professionals](https://www.coursera.org/learn/machine-learning-investment) | Bgn. | 17 | | | |
| Investment (Python) | [**Investment Management with Python and Machine Learning**](https://www.coursera.org/specializations/investment-management-python-machine-learning) | Bgn. | 73 | ○ | × | EDHEC Business School |
| | · [Introduction to Portfolio Construction and Analysis with Python](https://www.coursera.org/learn/introduction-portfolio-construction-python) | - | 24 | | | |
| | · [Advanced Portfolio Construction and Analysis with Python](https://www.coursera.org/learn/advanced-portfolio-construction-python) | Itm. | 11 | | | |
| | · [Python and Machine Learning for Asset Management](https://www.coursera.org/learn/python-machine-learning-for-investment-management) | Itm. | 18 | | | |
| | · [Python and Machine-Learning for Asset Management with Alternative Data Sets](https://www.coursera.org/learn/machine-learning-asset-management-alternative-data) | Itm. | 20 | | | |
| Investment (Python) | [**Machine Learning for Trading**](https://www.coursera.org/specializations/machine-learning-trading) | Itm. | 40 | ○ | × | New York Institute of Finance, Google Cloud |
| | · [Introduction to Trading, Machine Learning & GCP](https://www.coursera.org/learn/introduction-trading-machine-learning-gcp) | Itm. | 9 | | | |
| | · [Using Machine Learning in Trading and Finance](https://www.coursera.org/learn/machine-learning-trading-finance) | Itm. | 19 | | | |
| | · [Reinforcement Learning for Trading Strategies](https://www.coursera.org/learn/trading-strategies-reinforcement-learning) | Itm. | 12 | | | |
| Investment (Python) | [**Financial Engineering and Risk Management**](https://www.coursera.org/specializations/financialengineering) | Itm. | 86 | ○ | △ | Columbia University |
| | · [Introduction to Financial Engineering and Risk Management](https://www.coursera.org/learn/financial-engineering-intro) | Itm. | 18 | | ○ | |
| | · [Term-Structure and Credit Derivatives](https://www.coursera.org/learn/financial-engineering-termstructure) | Itm. | 14 | | ○ | |
| | · [Optimization Methods in Asset Management](https://www.coursera.org/learn/financial-engineering-optimizationmethods) | Itm. | 14 | | × | |
| | · [Advanced Topics in Derivative Pricing](https://www.coursera.org/learn/financial-engineering-advancedtopics) | Itm. | 16 | | × | |
| | · [Computational Methods in Pricing and Model Calibration](https://www.coursera.org/learn/financial-engineering-computationalmethods) | Itm. | 24 | | × | |
## [Coursera / Specialization : Investment - ESG](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Investment (ESG) | [**The Materiality of ESG Factors**](https://www.coursera.org/specializations/materiality-esg-factors) | Bgn. | 30 | ○ | × | University of Pennsylvania |
| | · [ESG Risks and Opportunities](https://www.coursera.org/learn/esg-risks-opportunities) | Bgn. | 8 | | | |
| | · [ESG Impact: Investor Perspective](https://www.coursera.org/learn/esg-impact-investor-perspective) | - | 7 | | | |
| | · [ESG and Climate Change](https://www.coursera.org/learn/esg-and-climate-change) | - | 8 | | | |
| | · [ESG and Social Activism](https://www.coursera.org/learn/esg-social-activism) | Bgn. | 7 | | | |
| Investment (ESG) | [**ESG Investing: Financial Decisions in Flux**](https://www.coursera.org/specializations/esg-investing-financial-decision-in-flux) | Bgn. | 92 | ○ | × | Interactive Brokers |
| | · [ESG Investing: Setting Standards & Conducting Analysis](https://www.coursera.org/learn/esg-investing-setting-standards-conducting-analysis) | Bgn. | 26 | | | |
| | · [ESG Investing: Industry Impacts & Transformations](https://www.coursera.org/learn/esg-investing-industry-impacts-transformations) | Bgn. | 24 | | | |
| | · [ESG-focused Financial Products](https://www.coursera.org/learn/esg-focused-financial-products) | Bgn. | 22 | | | |
| | · [ESG Data & Accountability](https://www.coursera.org/learn/esg-data-and-accountability) | Bgn. | 20 | | | |
## [Coursera / Specialization : Blockchain](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Blockchain | [**Blockchain**](https://www.coursera.org/specializations/uci-blockchain) | Bgn. | 40 | ○ | × | University of California, Irvine |
| | · [The Blockchain](https://www.coursera.org/learn/uciblockchain) | Bgn. | 9 | | | |
| | · [Cryptography and Hashing Overview](https://www.coursera.org/learn/crypto-hashing) | Bgn. | 10 | | | |
| | · [The Merkle Tree and Cryptocurrencies](https://www.coursera.org/learn/merkle-cryptocurrencies) | Bgn. | 9 | | | |
| | · [The Blockchain System](https://www.coursera.org/learn/blockchain-system) | Bgn. | 12 | | | |
| Blockchain | [**Blockchain Revolution**](https://www.coursera.org/specializations/blockchain-revolution-enterprise) | Bgn. | 85 | ○ | × | INSEAD |
| | · [Introduction to Blockchain Technologies](https://www.coursera.org/learn/introduction-blockchain-technologies) | Bgn. | 29 | | | |
| | · [Transacting on the Blockchain](https://www.coursera.org/learn/transacting-blockchain) | Itm. | 16 | | | |
| | · [Blockchain and Business: Applications and Implications](https://www.coursera.org/learn/blockchain-business) | - | 27 | | | |
| | · [Blockchain Opportunity Analysis](https://www.coursera.org/learn/blockchain-opportunity-analysis) | Itm. | 13 | | | |
| Blockchain | [**Introduction to Blockchain**](https://www.coursera.org/specializations/introduction-to-blockchain) | Bgn. | 9 | ○ | × | Association of International Certified Professional Accountants |
| | · [Blockchain Evolution and Technology Concepts](https://www.coursera.org/learn/blockchain-evolution-and-technology-concepts) | Bgn. | 3 | | | |
| | · [Blockchain Opportunities Beyond Crypto Assets](https://www.coursera.org/learn/blockchain-opportunities-beyond-crypto-assets) | Bgn. | 3 | | | |
| | · [Understanding, Using, and Securing Crypto and Digital Assets](https://www.coursera.org/learn/blcf20b) | Bgn. | 3 | | | |
| Blockchain Solidity | [**Blockchain**](https://www.coursera.org/specializations/blockchain) | Itm. | 67 | ○ | ○ | University at Buffalo +1 |
| | · [Blockchain Basics](https://www.coursera.org/learn/blockchain-basics) | Bgn. | 16 | | | |
| | · [Smart Contracts](https://www.coursera.org/learn/smarter-contracts) | Itm. | 17 | | | |
| | · [Decentralized Applications (Dapps)](https://www.coursera.org/learn/decentralized-apps-on-blockchain) | Itm. | 18 | | | |
| | · [Blockchain Platforms](https://www.coursera.org/learn/blockchain-platforms) | Itm. | 16 | | | |
## [Coursera / Specialization : Blockchain - Fintech](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Fintech | [**Fintech: Foundations & Applications of Financial Technology**](https://www.coursera.org/specializations/wharton-fintech) | Bgn. | 19 | ○ | × | University of Pennsylvania |
| | · [FinTech: Foundations, Payments, and Regulations](https://www.coursera.org/learn/wharton-fintech-overview-payments-regulations) | Bgn. | 6 | | | |
| | · [Cryptocurrency and Blockchain: An Introduction to Digital Currencies](https://www.coursera.org/learn/wharton-cryptocurrency-blockchain-introduction-digital-currency) | - | 4 | | | |
| | · [Lending, Crowdfunding, and Modern Investing](https://www.coursera.org/learn/wharton-crowdfunding-marketplace-lending-modern-investing) | Bgn. | 5 | | | |
| | · [Application of AI, InsurTech, and Real Estate Technology](https://www.coursera.org/learn/wharton-ai-application-insurtech-real-estate-technology) | - | 4 | | | |
| Fintech | [**Financial Technology (Fintech) Innovations**](https://www.coursera.org/specializations/financialtechnology) | Bgn. | 34 | ○ | × | University of Michigan |
| | · [The Future of Payment Technologies](https://www.coursera.org/learn/paytech) | Bgn. | 7 | | | |
| | · [Blockchain and Cryptocurrency Explained](https://www.coursera.org/learn/crypto-finance) | Bgn. | 9 | | | |
| | · [Raising Capital: Credit Tech, Coin Offerings, and Crowdfunding](https://www.coursera.org/learn/credit-tech) | Bgn. | 8 | | | |
| | · [Innovations in Investment Technology: Artificial Intelligence](https://www.coursera.org/learn/invest-tech) | Bgn. | 10 | | | |
| Fintech | [**Fintech Startups in Emerging Markets**](https://www.coursera.org/specializations/fintech-startups-emerging-markets) | Bgn. | 55 | ○ | × | University of Cape Town |
| | · [Financial Regulation in Emerging Markets and the Rise of Fintech Companies](https://www.coursera.org/learn/financial-regulation) | Bgn. | 13 | | | |
| | · [How Entrepreneurs in Emerging Markets can master the Blockchain Technology](https://www.coursera.org/learn/entrepreneurs-blockchain-technology) | Bgn. | 10 | | | |
| | · [Building Fintech Startups in Emerging Markets](https://www.coursera.org/learn/building-fintech-startups) | Bgn. | 19 | | | |
| | · [Capstone Course: Start Up Your Fintech Future](https://www.coursera.org/learn/startup-fintech-capstone) | Bgn. | 13 | | | |
| Fintech | [**FinTech: Finance Industry Transformation and Regulation**](https://www.coursera.org/specializations/fintech) | Bgn. | 58 | ○ | × | The Hong Kong University of Science and Technology |
| | · [FinTech Foundations and Overview](https://www.coursera.org/learn/fintech) | Bgn. | 15 | | | |
| | · [FinTech Security and Regulation (RegTech)](https://www.coursera.org/learn/regtech) | Bgn. | 15 | | | |
| | · [FinTech Risk Management](https://www.coursera.org/learn/fintech-risk-management) | Bgn. | 15 | | | |
| | · [FinTech Disruptive Innovation: Implications for Society](https://www.coursera.org/learn/fintech-disruption) | Bgn. | 13 | | | |
| Fintech | [**Blockchain Revolution in Financial Services**](https://www.coursera.org/specializations/blockchain-financial-services) | Bgn. | 78 | ○ | × | INSEAD |
| | · [Introduction to Blockchain for Financial Services](https://www.coursera.org/learn/intro-blockchain-financial-services) | Bgn. | 29 | | | |
| | · [Blockchain, Cryptoassets, and Decentralized Finance](https://www.coursera.org/learn/blockchain-crypto-decentralized-finance) | Bgn. | 19 | | | |
| | · [Blockchain Transformations of Financial Services](https://www.coursera.org/learn/blockchain-transformations-financial-services) | Bgn. | 16 | | | |
| | · [Blockchain in Financial Services: Strategic Action Plan](https://www.coursera.org/learn/blockchain-strategic-action-plan) | Itm. | 14 | | | |
| Fintech | [**Decentralized Finance (DeFi): The Future of Finance**](https://www.coursera.org/specializations/decentralized-finance-duke) | Itm. | 26 | ○ | × | Duke University |
| | · [Decentralized Finance (DeFi) Infrastructure](https://www.coursera.org/learn/decentralized-finance-infrastructure-duke) | Bgn. | 6 | | | |
| | · [Decentralized Finance (DeFi) Primitives](https://www.coursera.org/learn/decentralized-finance-primitives-duke) | Itm. | 6 | | | |
| | · [Decentralized Finance (DeFi) Deep Dive](https://www.coursera.org/learn/decentralized-finance-deep-dive-duke) | Itm. | 8 | | | |
| | · [Decentralized Finance (DeFi) Opportunities and Risks](https://www.coursera.org/learn/decentralized-finance-opportunities-and-risk-duke) | Itm. | 6 | | | |
## [Coursera / Specialization : Music (1) Beginner - Musicianship](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Music | [**Developing Your Musicianship**](https://www.coursera.org/specializations/musicianship-specialization) | Bgn. | 51 | ○ | × | Berklee College of Music |
| | · [Developing Your Musicianship](https://www.coursera.org/learn/develop-your-musicianship) | - | 17 | | | |
| | · [Musicianship: Chord Charts, Diatonic Chords, and Minor Keys](https://www.coursera.org/learn/musicianship-chords) | Itm. | 13 | | | |
| | · [Musicianship: Tensions, Harmonic Function, and Modal Interchange](https://www.coursera.org/learn/musicianship-harmony) | Itm. | 11 | | | |
| | · [Developing Your Musicianship: Final Project](https://www.coursera.org/learn/musicianship-final-project) | Itm. | 10 | | | |
| Music | [**The Singer Songwriter**](https://www.coursera.org/specializations/singer-songwriter) | Bgn. | 67 | ○ | × | Berklee College of Music |
| | · [Guitar for Beginners](https://www.coursera.org/learn/guitar) | - | 24 | | | |
| | · [Singing Popular Music](https://www.coursera.org/learn/singing-popular-music) | Bgn. | 12 | | | |
| | · [Songwriting: Writing the Lyrics](https://www.coursera.org/learn/songwriting-lyrics) | Bgn. | 17 | | | |
| | · [Introduction to Ableton Live](https://www.coursera.org/learn/ableton-live) | - | 14 | | | |
| Music | [**How to Play Guitar**](https://www.coursera.org/specializations/play-guitar) | Bgn. | 60 | ○ | × | Berklee College of Music |
| | · [Guitar for Beginners](https://www.coursera.org/learn/guitar) | - | 24 | | | |
| | · [Guitar Scales and Chord Progressions](https://www.coursera.org/learn/guitar-scales-chord-progressions) | Itm. | 15 | | | |
| | · [Guitar Chord Voicings: Playing Up The Neck](https://www.coursera.org/learn/guitar-chords) | Itm. | 10 | | | |
| | · [Guitar Performance Techniques](https://www.coursera.org/learn/guitar-performance) | Itm. | 11 | | | |
| Music | [**The DIY Musician**](https://www.coursera.org/specializations/diy-musician) | Bgn. | 54 | ○ | × | Berklee College of Music |
| | · [Songwriting: Writing the Lyrics](https://www.coursera.org/learn/songwriting-lyrics) | Bgn. | 17 | | | |
| | · [The Art of Music Production](https://www.coursera.org/learn/producing-music) | Itm. | 14 | | | |
| | · [Pro Tools Basics](https://www.coursera.org/learn/protools) | - | 13 | | | |
| | · [Building Your Career in Music: Developing A Brand and Funding Your Music](https://www.coursera.org/learn/navigate-music-industry-independent-artist) | Bgn. | 10 | | | |
## [Coursera / Specialization : Music (2) Beginner - Producing / Business](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Music | [**The Business of Music Production**](https://www.coursera.org/specializations/business-music-production) | Bgn. | 49 | ○ | × | Berklee College of Music |
| | · [Music Business Foundations](https://www.coursera.org/learn/music-business-foundations) | - | 12 | | | |
| | · [The Art of Music Production](https://www.coursera.org/learn/producing-music) | Itm. | 14 | | | |
| | · [Copyright Law in the Music Business](https://www.coursera.org/learn/copyright-law-music-business) | Bgn. | 10 | | | |
| | · [Pro Tools Basics](https://www.coursera.org/learn/protools) | - | 13 | | | |
| Music | [**Music Business**](https://www.coursera.org/specializations/music-business) | Bgn. | 40 | ○ | × | Berklee College of Music |
| | · [Music Business Foundations](https://www.coursera.org/learn/music-business-foundations) | - | 12 | | | |
| | · [Building Your Career in Music: Developing A Brand and Funding Your Music](https://www.coursera.org/learn/navigate-music-industry-independent-artist) | Bgn. | 10 | | | |
| | · [Copyright Law in the Music Business](https://www.coursera.org/learn/copyright-law-music-business) | Bgn. | 10 | | | |
| | · [Creativity And Entrepreneurship](https://www.coursera.org/learn/creativity-entrepreneurship) | Bgn. | 8 | | | |
| Music | [**Music Production**](https://www.coursera.org/specializations/music-production) | Bgn. | 56 | ○ | × | Berklee College of Music |
| | · [The Art of Music Production](https://www.coursera.org/learn/producing-music) | Itm. | 14 | | | |
| | · [The Technology of Music Production](https://www.coursera.org/learn/technology-of-music-production) | Bgn. | 19 | | | |
| | · [Pro Tools Basics](https://www.coursera.org/learn/protools) | - | 13 | | | |
| | · [Music Production Capstone](https://www.coursera.org/learn/music-production-capstone) | Itm. | 10 | | | |
| Music | [**Songwriting: Writing, Arranging, and Producing Music**](https://www.coursera.org/specializations/songwriting) | Bgn. | 53 | ○ | × | Berklee College of Music |
| | · [Songwriting: Writing the Lyrics](https://www.coursera.org/learn/songwriting-lyrics) | Bgn. | 17 | | | |
| | · [Songwriting: Writing the Music](https://www.coursera.org/learn/songwriting-writing-the-music) | Itm. | 12 | | | |
| | · [Arranging for Songwriters](https://www.coursera.org/learn/arranging-for-songwriters) | Itm. | 10 | | | |
| | · [Introduction to Ableton Live](https://www.coursera.org/learn/ableton-live) | - | 14 | | | |
## [Coursera / Specialization : Music (3) Intermediate](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Music | [**Electronic Music Production**](https://www.coursera.org/specializations/electronic-music-production) | Itm. | 54 | ○ | × | Berklee College of Music |
| | · [The Technology of Music Production](https://www.coursera.org/learn/technology-of-music-production) | Bgn. | 19 | | | |
| | · [Introduction to Ableton Live](https://www.coursera.org/learn/ableton-live) | - | 14 | | | |
| | · [Creating Sounds for Electronic Music](https://www.coursera.org/learn/music-synthesizer) | - | 14 | | | |
| | · [Electronic Music Performance Techniques](https://www.coursera.org/learn/edi-performance-techniques) | Itm. | 7 | | | |
| Music | [**Music Education for Teachers**](https://www.coursera.org/specializations/music-education) | Itm. | 47 | ○ | × | Berklee College of Music |
| | · [Teaching Popular Music in the Classroom](https://www.coursera.org/learn/teaching-popular-music) | Itm. | 8 | | | |
| | · [Jazz Improvisation](https://www.coursera.org/learn/jazz-improvisation) | Itm. | 15 | | | |
| | · [Arranging for Songwriters](https://www.coursera.org/learn/arranging-for-songwriters) | Itm. | 10 | | | |
| | · [The Art of Music Production](https://www.coursera.org/learn/producing-music) | Itm. | 14 | | | |
| Music | [**Musician’s Professional Toolbox: Your Portfolio Career**](https://www.coursera.org/specializations/music-career-toolbox-managing-your-portfolio-career) | Itm. | 34 | ○ | × | University of Colorado Boulder |
| | · [Strategies for Success in your Music Career](https://www.coursera.org/learn/strategies-for-success-in-your-music-career) | Itm. | 10 | | | |
| | · [Building Your Artistic Brand](https://www.coursera.org/learn/building-your-artistic-brand) | Itm. | 7 | | | |
| | · [Promotional Materials Every Musician Needs](https://www.coursera.org/learn/promotional-materials-every-musician-needs) | Itm. | 9 | | | |
| | · [Launching Your Music Career](https://www.coursera.org/learn/launching-your-music-career) | Itm. | 8 | | | |
| Music | [**Exploring Piano Literature: The Piano Sonata**](https://www.coursera.org/specializations/exploring-piano-literature) | Itm. | 35 | ○ | × | University of Michigan |
| | · [The Piano Sonata: Origins to Mozart](https://www.coursera.org/learn/piano-sonata-origins-to-mozart) | Itm. | 10 | | | |
| | · [The Piano Sonata: Beethoven and the Romantics](https://www.coursera.org/learn/piano-sonata-beethoven-to-romantics) | Itm. | 12 | | | |
| | · [The Piano Sonata: Russian and 20th-21st Century Composers](https://www.coursera.org/learn/piano-sonata-russian-20-21-century-composers) | Itm. | 13 | | | |
## [Coursera / Specialization : English (1)](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| English | [**Essential English for University Success**](https://www.coursera.org/specializations/essential-english-for-university-success) | Bgn. | 24 | ○ | × | University of California, Irvine |
| | · [Speaking Skills for University Success](https://www.coursera.org/learn/speaking-skills-for-university-success) | Bgn. | 8 | | | |
| | · [Writing Skills for University Success](https://www.coursera.org/learn/writing-skills-for-success) | Bgn. | 7 | | | |
| | · [Study Skills for University Success](https://www.coursera.org/learn/study-skills-for-university-success) | Bgn. | 9 | | | |
| English | [**Learn English: Beginning Grammar**](https://www.coursera.org/specializations/learn-english-beginning-grammar) | Bgn. | 27 | ○ | × | University of California, Irvine |
| | · [Word Forms and Simple Present Tense](https://www.coursera.org/learn/word-forms-simple-present-tense) | Bgn. | 9 | | | |
| | · [Questions, Present Progressive and Future Tenses](https://www.coursera.org/learn/questions-present-progressive-future-tenses) | Bgn. | 9 | | | |
| | · [Simple Past Tense](https://www.coursera.org/learn/simple-past-tense) | Bgn. | 9 | | | |
| English | [**Learn English: Intermediate Grammar**](https://www.coursera.org/specializations/intermediate-grammar) | Itm. | 104 | ○ | × | University of California, Irvine |
| | · [Perfect Tenses and Modals](https://www.coursera.org/learn/perfect-tenses-modals) | Itm. | 29 | | | |
| | · [Adjectives and Adjective Clauses](https://www.coursera.org/learn/adjective-clauses) | - | 25 | | | |
| | · [Tricky English Grammar](https://www.coursera.org/learn/tricky-english-grammar) | - | 25 | | | |
| | · [Intermediate Grammar Project](https://www.coursera.org/learn/intermediate-grammar-capstone) | Itm. | 25 | | | |
| English | [**Learn English: Advanced Grammar and Punctuation**](https://www.coursera.org/specializations/advanced-grammar-punctuation) | Adv. | 88 | ○ | × | University of California, Irvine |
| | · [Verb Tenses and Passives](https://www.coursera.org/learn/verb-passives) | Itm. | 25 | | | |
| | · [Conjunctions, Connectives, and Adverb Clauses](https://www.coursera.org/learn/conjunctions-connectives-adverb-clauses) | Itm. | 22 | | | |
| | · [Noun Clauses and Conditionals](https://www.coursera.org/learn/noun-clauses-conditionals) | Itm. | 21 | | | |
| | · [Advanced Grammar & Punctuation Project](https://www.coursera.org/learn/advanced-grammar-project) | Adv. | 20 | | | |
| English | [**Learn English: Advanced Academic Speaking and Listening**](https://www.coursera.org/specializations/speaklistenenglish) | Itm. | 102 | ○ | × | University of California, Irvine |
| | · [Academic Listening and Note-Taking](https://www.coursera.org/learn/note-taking) | Itm. | 32 | | | |
| | · [Presentations: Speaking so that People Listen](https://www.coursera.org/learn/presentations-speaking-so-that-people-listen) | Itm. | 25 | | | |
| | · [Academic Discussions in English](https://www.coursera.org/learn/academic-discussion-english) | Itm. | 25 | | | |
| | · [Advanced Speaking and Listening Project](https://www.coursera.org/learn/speaking-listening-capstone) | Itm. | 20 | | | |
| English | [**The Pronunciation of American English**](https://www.coursera.org/specializations/american-english-pronunciation) | Bgn. | 85 | ○ | × | University of California, Irvine |
| | · [Consonants of American English Pronunciation](https://www.coursera.org/learn/american-english-pronunciation-consonant-sounds) | Bgn. | 22 | | | |
| | · [Vowels of American English Pronunciation](https://www.coursera.org/learn/american-english-pronunciation-vowel-sounds) | Bgn. | 23 | | | |
| | · [The Music of American English Pronunciation](https://www.coursera.org/learn/american-english-pronunciation-music) | Bgn. | 23 | | | |
| | · [The Pronunciation of American English Project](https://www.coursera.org/learn/pronunciation-american-english-project) | Bgn. | 17 | | | |
## [Coursera / Specialization : English (2) Business English](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| English | [**Business English**](https://www.coursera.org/specializations/english-for-business) | Itm. | 122 | | × | Arizona State University |
| | · [Business English: Management and Leadership](https://www.coursera.org/learn/management-leadership-english) | Itm. | 30 | | | |
| | · [Business English: Finance and Economics](https://www.coursera.org/learn/finance-economics-english) | Itm. | 29 | | | |
| | · [Business English: Marketing and Sales](https://www.coursera.org/learn/marketing-sales-english) | Itm. | 31 | | | |
| | · [Business English: Final Project](https://www.coursera.org/learn/english-for-business-project) | Itm. | 32 | | | |
| English | [**Business English Communication Skills**](https://www.coursera.org/specializations/business-english) | Itm. | 124 | | × | University of Washington |
| | · [Business English: Networking](https://www.coursera.org/learn/business-english-intro) | Itm. | 28 | | | |
| | · [Business English: Meetings](https://www.coursera.org/learn/business-english-meetings) | Itm. | 23 | | | |
| | · [Business English: Planning & Negotiating](https://www.coursera.org/learn/business-english-negotiating) | Itm. | 29 | | | |
| | · [Business English: Making Presentations](https://www.coursera.org/learn/business-english-presentations) | Itm. | 14 | | | |
| | · [Business English: Capstone Project](https://www.coursera.org/learn/business-english-capstone) | Itm. | 30 | | | |
| English | [**Business English for Non-Native Speakers**](https://www.coursera.org/specializations/business-english-speakers) | Bgn. | 110 | | × | The Hong Kong University of Science and Technology |
| | · [Business English: Basics](https://www.coursera.org/learn/business-english) | - | 20 | | | |
| | · [English for Effective Business Writing](https://www.coursera.org/learn/english-for-business-writing) | - | 25 | | | |
| | · [English for Effective Business Speaking](https://www.coursera.org/learn/business-english-vocabulary) | - | 23 | | | |
| | · [Business English for Cross-cultural Communication](https://www.coursera.org/learn/cross-cultural-communication-business) | - | 22 | | | |
| | · [Business Case Analysis](https://www.coursera.org/learn/business-case-analysis) | - | 20 | | | |
| English | [**Essential English for Business Professionals**](https://www.coursera.org/specializations/essential-english-business-professionals) | Itm. | 47 | | × | University of California, Irvine |
| | · [English for Developing a Business](https://www.coursera.org/learn/english-developing-business) | - | 16 | | | |
| | · [English for Effective Business Communications](https://www.coursera.org/learn/english-for-working-together-in-business) | - | 15 | | | |
| | · [English for Running a Successful Business](https://www.coursera.org/learn/english-for-getting-down-to-business) | - | 16 | | | |
| English | [**Improve Your English Communication Skills**](https://www.coursera.org/specializations/improve-english) | Bgn. | 55 | ○ | △ | Georgia Institute of Technology |
| | · [Write Professional Emails in English](https://www.coursera.org/learn/professional-emails-english) | - | 14 | | ○ | |
| | · [Speak English Professionally: In Person, Online & On the Phone](https://www.coursera.org/learn/speak-english-professionally) | - | 16 | | × | |
| | · [Build Your Professional ePortfolio in English](https://www.coursera.org/learn/eportfolio-english) | - | 13 | | × | |
| | · [Take Your English Communication Skills to the Next Level](https://www.coursera.org/learn/english-communication-capstone) | - | 12 | | × | |
## [Coursera / Specialization : English (3) Writing](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Writing | [**Academic English: Writing**](https://www.coursera.org/specializations/academic-english) | Bgn. | 87 | ○ | × | University of California, Irvine |
| | · [Grammar and Punctuation](https://www.coursera.org/learn/grammar-punctuation) | - | 17 | | | |
| | · [Getting Started with Essay Writing](https://www.coursera.org/learn/getting-started-with-essay-writing) | - | 20 | | | |
| | · [Advanced Writing](https://www.coursera.org/learn/advanced-writing) | - | 20 | | | |
| | · [Introduction to Research for Essay Writing](https://www.coursera.org/learn/introduction-to-research-for-essay-writing) | - | 20 | | | |
| | · [Project: Writing a Research Paper](https://www.coursera.org/learn/academic-writing-capstone) | - | 10 | | | |
| Writing | [**Content Strategy for Professionals**](https://www.coursera.org/specializations/content-strategy) | Bgn. | 24 | ○ | × | Northwestern University |
| | · [Content Strategy for Professionals: Engaging Audiences](https://www.coursera.org/learn/engagement-strategy) | - | 6 | | | |
| | · [Content Strategy for Professionals: Managing Content](https://www.coursera.org/learn/content-management-strategy) | - | 6 | | | |
| | · [Content Strategy for Professionals: Expanding Your Content’s Reach](https://www.coursera.org/learn/increase-reach) | - | 5 | | | |
| | · [Content Strategy for Professionals: Ensuring Your Content's Impact](https://www.coursera.org/learn/effective-content-strategy) | - | 5 | | | |
| | · [Content Strategy for Professionals: Capstone Project](https://www.coursera.org/learn/content-strategy-project) | Itm. | 2 | | | |
| Writing | [**Creative Writing**](https://www.coursera.org/specializations/creative-writing) | Bgn. | 34 | ○ | × | Wesleyan University |
| | · [Creative Writing: The Craft of Plot](https://www.coursera.org/learn/craft-of-plot) | - | 6 | | | |
| | · [Creative Writing: The Craft of Character](https://www.coursera.org/learn/craft-of-character) | - | 6 | | | |
| | · [Creative Writing: The Craft of Setting and Description](https://www.coursera.org/learn/craft-of-setting-and-description) | - | 7 | | | |
| | · [Creative Writing: The Craft of Style](https://www.coursera.org/learn/craft-of-style) | - | 8 | | | |
| | · [Capstone: Your Story](https://www.coursera.org/learn/story-writing-project) | - | 7 | | | |
| Writing | [**Good with Words: Writing and Editing**](https://www.coursera.org/specializations/good-with-words) | Bgn. | 63 | ○ | × | University of Michigan |
| | · [Writing and Editing: Word Choice and Word Order](https://www.coursera.org/learn/writing-editing-words) | Bgn. | 20 | | | |
| | · [Writing and Editing: Structure and Organization](https://www.coursera.org/learn/writing-editing-structure) | Bgn. | 15 | | | |
| | · [Writing and Editing: Drafting](https://www.coursera.org/learn/writing-editing-drafting) | Bgn. | 14 | | | |
| | · [Writing and Editing: Revising](https://www.coursera.org/learn/writing-editing-revising) | Bgn. | 14 | | | |
| Writing | [**Memoir and Personal Essay: Write About Yourself**](https://www.coursera.org/specializations/memoir-personal-essay) | Bgn. | 28 | ○ | × | Wesleyan University |
| | · [Memoir and Personal Essay: Managing Your Relationship with the Reader](https://www.coursera.org/learn/memoir-reader-relationship) | Bgn. | 5 | | | |
| | · [Writing in First Person Point of View](https://www.coursera.org/learn/first-person-pov) | - | 6 | | | |
| | · [Writing a Personal Essay](https://www.coursera.org/learn/personal-essay) | - | 7 | | | |
| | · [Writing Stories About Ourselves](https://www.coursera.org/learn/writing-about-ourselves) | Bgn. | 10 | | | |
| Writing | [**Storying the Self for Leadership and Creativity**](https://www.coursera.org/specializations/storying-the-self-for-leadership-and-creativity) | Bgn. | 23 | ○ | × | University of Colorado Boulder |
| | · [Storying the Self: How Stories Shape our Identities](https://www.coursera.org/learn/storying-the-self-how-stories-shape-our-identities) | Bgn. | 9 | | | |
| | · [Storying the Self: (Re)Claiming our Voices](https://www.coursera.org/learn/storying-the-self-re-claiming-our-voices) | Bgn. | 8 | | | |
| | · [Storying the Self: Telling our Stories](https://www.coursera.org/learn/storying-the-self-telling-our-stories) | Bgn. | 6 | | | |
| Writing | [**Teaching Writing**](https://www.coursera.org/specializations/teaching-writing) | Bgn. | 99 | ○ | × | Johns Hopkins University |
| | · [Teaching Writing Process](https://www.coursera.org/learn/teaching-writing-process) | Bgn. | 20 | | | |
| | · [Teaching Reluctant Writers](https://www.coursera.org/learn/teaching-reluctant-writers) | Bgn. | 15 | | | |
| | · [Teaching Texts and Forms](https://www.coursera.org/learn/teaching-texts-forms) | Bgn. | 21 | | | |
| | · [Responding, Revising and Assessing Student Writings](https://www.coursera.org/learn/responding-revising-assessing-student-writings) | Bgn. | 21 | | | |
| | · [Teaching Writing Final Project](https://www.coursera.org/learn/teaching-writing-final-project) | Bgn. | 22 | | | |
## [Coursera / Specialization : Others](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Parenting | [**Newborn Baby Care**](https://www.coursera.org/specializations/newborn-baby-care) | Bgn. | 71 | ○ | × | University of Colorado System |
| | · [Preventative Healthcare for the Newborn Baby](https://www.coursera.org/learn/preventive-healthcare-newborn-baby) | Bgn. | 15 | | | |
| | · [The Newborn Assessment](https://www.coursera.org/learn/newborn-assessment) | Bgn. | 12 | | | |
| | · [Guidance to Keep Newborn Babies Safe and Healthy](https://www.coursera.org/learn/keeping-newborn-baby-safe-healthy) | Bgn. | 16 | | | |
| | · [Supporting Parents of a Newborn Baby](https://www.coursera.org/learn/supporting-parents-newborn-baby) | Bgn. | 12 | | | |
| | · [Newborn Capstone](https://www.coursera.org/learn/newborn-capstone) | Bgn. | 16 | | | |
## [Coursera / Course : Development (1) General](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Assembly | [Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)](https://www.coursera.org/learn/build-a-computer) | - | 44 | ○ | × | Hebrew University of Jerusalem |
| | [Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course)](https://www.coursera.org/learn/d2tetris2) | - | 90 | ○ | × | Hebrew University of Jerusalem |
| Bash | [The Unix Workbench](https://www.coursera.org/learn/unix) | Bgn. | 19 | ○ | × | Johns Hopkins University |
| Competitive Programming | [C/C++ for competitive programming](https://www.coursera.org/learn/c-for-competitive-programming) | Bgn. | 105 | ○ | × | Moscow Institute of Physics and Technology |
| | [Competitive Programmer's Core Skills](https://www.coursera.org/learn/competitive-programming-core-skills) | Itm. | 32 | × | × | Saint Petersburg State University |
| Data Structure & Algorithms (Java) | [Algorithms, Part I](https://www.coursera.org/learn/algorithms-part1) | Itm. | 54 | Free | ○ | Princeton University |
| | [Algorithms, Part II](https://www.coursera.org/learn/algorithms-part2) | Itm. | 63 | Free | ○ | Princeton University |
| Functional Programming
(SML) | [Programming Languages, Part A](https://www.coursera.org/learn/programming-languages) | Itm. | 30 | ○ | × | University of Washington |
| (Racket) | [Programming Languages, Part B](https://www.coursera.org/learn/programming-languages-part-b) | Itm. | 17 | ○ | × | University of Washington |
| (Ruby) | [Programming Languages, Part C](https://www.coursera.org/learn/programming-languages-part-c) | - | 18 | ○ | × | University of Washington |
| Java | [Data Structures and Performance](https://www.coursera.org/learn/data-structures-optimizing-performance) | Itm. | 42 | ○ | ○ | University of California San Diego |
| Julia | [Julia Scientific Programming](https://www.coursera.org/learn/julia-programming) | Bgn. | 18 | ○ | × | University of Cape Town |
## [Coursera / Course : Development (2) Applications](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| App Inventor | [Developing Android Apps with App Inventor](https://www.coursera.org/learn/app-inventor-android) | Bgn. | 40 | ○ | × | The Hong Kong University of Science and Technology |
| Git | [Introduction to Git and GitHub](https://www.coursera.org/learn/introduction-git-github) | Bgn. | 16 | ○ | × | Google |
| Mathematics | [Introduction to Calculus](https://www.coursera.org/learn/introduction-to-calculus) | Itm. | 59 | ○ | × | The University of Sydney |
| | [Applied Calculus with Python](https://www.coursera.org/learn/applied-calculus-with-python) | Itm. | 23 | ○ | × | Johns Hopkins University |
| MATLAB Octave | [Machine Learning](https://www.coursera.org/learn/machine-learning) | - | 61 | × | × | Stanford University |
| Microsoft Azure | [Cloud Computing Basics (Cloud 101)](https://www.coursera.org/learn/cloud-computing-basics) | Bgn. | 9 | ○ | ○ | LearnQuest |
| | [Getting Started with Azure](https://www.coursera.org/learn/cloud-azure-intro) | Bgn. | 20 | ○ | × | LearnQuest |
| | [Data Processing with Azure](https://www.coursera.org/learn/data-processing-with-azure) | Itm. | 13 | ○ | × | LearnQuest |
| | [Developing AI Applications on Azure](https://www.coursera.org/learn/developing-ai-applications-azure) | Adv. | 16 | ○ | × | LearnQuest |
| | [Azure Infrastructure Fundamentals](https://www.coursera.org/learn/azure-infrastructure) | Adv. | 30 | ○ | × | LearnQuest |
| OpenCV | [2D image processing](https://www.coursera.org/learn/2d-image-processing) | Bgn. | 14 | × | × | HSE University |
| RPA
(UiPath) | [Automation Business Analysis - Concepts and Principles](https://www.coursera.org/learn/automation-business-analyst) | Bgn. | 14 | ○ | ○ | UiPath |
| (UiPath) | [Robotics Process Automation for Smart Manufacturing](https://www.coursera.org/learn/robotics-process-automation-for-smart-manufacturing) | Bgn. | 6 | ○ | × | Starweaver |
| (Blue Prism) | [Blue Prism Foundation Training](https://www.coursera.org/learn/blue-prism-foundation-training) | Bgn. | 19 | ○ | ○ | Blue Prism |
| (Automation 360) | [Getting Started with Automation 360](https://www.coursera.org/learn/automation-360) | Itm. | 4 | × | ○ | Automation Anywhere |
## [Coursera / Course : Development (3) Electronics](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Electronics | [Introduction to Electronics](https://www.coursera.org/learn/electronics) | - | 46 | × | × | Georgia Institute of Technology |
| | [Linear Circuits 1: DC Analysis](https://www.coursera.org/learn/linear-circuits-dcanalysis) | - | 85 | × | × | Georgia Institute of Technology |
| | [Linear Circuits 2: AC Analysis](https://www.coursera.org/learn/linear-circuits-ac-analysis) | - | 28 | × | × | Georgia Institute of Technology |
| | [Introduction to Semiconductor Devices 1](https://www.coursera.org/learn/semiconductor-1) | Itm. | 12 | ○ | × | Korea Advanced Institute of Science and Technology |
| | [Introduction to Semiconductor Devices 2](https://www.coursera.org/learn/semiconductor-2) | Itm. | 10 | ○ | × | Korea Advanced Institute of Science and Technology |
| | [VLSI CAD Part I: Logic](https://www.coursera.org/learn/vlsi-cad-logic) | Itm. | 23 | ○ | × | University of Illinois at Urbana-Champaign |
| | [VLSI CAD Part II: Layout](https://www.coursera.org/learn/vlsi-cad-layout) | Itm. | 24 | ○ | × | University of Illinois at Urbana-Champaign |
| | [RF and millimeter-Wave Circuit Design](https://www.coursera.org/learn/rf-mmwave-circuit-design) | Itm. | 30 | ○ | × | Eindhoven University of Technology |
## [Coursera / Course : Music (1) Beginner, Itermedate](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Music (Bgn.) | [20世纪西方音乐 Western Music in the 20th Century](https://www.coursera.org/learn/20cnwm) | Bgn. | 14 | Free | × | Peking University |
| | [Art of the MOOC: Experiments with Sound](https://www.coursera.org/learn/experiments-with-sound) | Bgn. | 10 | Free | × | Duke University
Berlin University of the Arts |
| | [Explore Management Concepts through Metaphor and Music](https://www.coursera.org/learn/explore-management-concepts-through-metaphor-and-music) | Bgn. | 18 | Free | × | University of London |
| | [Fundamentals of Music Theory](https://www.coursera.org/learn/edinburgh-music-theory) | Bgn. | 12 | ○ | × | The University of Edinburgh |
| | [Getting Started With Music Theory](https://www.coursera.org/learn/music-theory) | Bgn. | 13 | Free | × | Michigan State University |
| | [How Music Can Change Your Life](https://www.coursera.org/learn/music-life) | Bgn. | 26 | Free | × | The University of Melbourne |
| | [Modern & Contemporary American Poetry (“ModPo”)](https://www.coursera.org/learn/modpo) | Bgn. | 93 | ○ | × | University of Pennsylvania |
| | [Music for Wellness](https://www.coursera.org/learn/music-for-wellness) | Bgn. | 11 | ○ | × | Berklee College of Music |
| | [Music's Big Bang: The Genesis of Rock 'n' Roll](https://www.coursera.org/learn/rock-and-roll-music) | Bgn. | 9 | Free | × | University of Florida |
| | [Piano Techniques for Modern Music](https://www.coursera.org/learn/piano-techniques-for-modern-music) | Bgn. | 12 | ○ | × | Berklee College of Music |
| | [So You Think You Know Tango?](https://www.coursera.org/learn/tango) | Bgn. | 6 | ○ | × | Emory University |
| | [The Art of Vocal Production](https://www.coursera.org/learn/vocal-production) | Bgn. | 12 | ○ | × | Berklee College of Music |
| | [The Place of Music in 21st Century Education](https://www.coursera.org/learn/music-education) | Bgn. | 22 | Free | × | The University of Sydney |
| Music (Itm.) | [Approaching Music Theory: Melodic Forms and Simple Harmony](https://www.coursera.org/learn/melodic-forms-simple-harmony) | Itm. | 22 | | × | California Institute of the Arts |
| | [Audio Signal Processing for Music Applications](https://www.coursera.org/learn/audio-signal-processing) | Itm. | 49 | Free | × | Universitat Pompeu Fabra of Barcelona
Stanford University |
| | [FL Studio Basics](https://www.coursera.org/learn/fl-studio-basics) | Itm. | 12 | | × | Berklee College of Music |
| | [Intimacy of Creativity: Entering the Minds of Composers](https://www.coursera.org/learn/intimacy-creativity-entering-minds-composers) | Itm. | 5 | Free | × | The Hong Kong University of Science and Technology |
| | [Piano Scales for Modern Music](https://www.coursera.org/learn/piano-scales-for-modern-music) | Itm. | 12 | | × | Berklee College of Music |
## [Coursera / Course : Music (2) Mixed](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Music (Mix.) | [Copyright for Multimedia](https://www.coursera.org/learn/copyright-for-multimedia) | Mix. | 11 | Free | × | Duke University
Emory University
The University of North Carolina at Chapel Hill |
| | [Exploring Beethoven’s Piano Sonatas](https://www.coursera.org/learn/beethoven-piano-sonatas) | Bgn. | 18 | Free | × | Curtis Institute of Music |
| | [Exploring Beethoven’s Piano Sonatas Part 2](https://www.coursera.org/learn/exploring-beethoven-piano-sonatas-2) | Bgn. | 8 | Free | × | Curtis Institute of Music |
| | [Exploring Beethoven's Piano Sonatas Part 3](https://www.coursera.org/learn/exploring-beethoven-piano-sonatas-3) | Bgn. | 7 | Free | × | Curtis Institute of Music |
| | [Exploring Beethoven's Piano Sonatas Part 4](https://www.coursera.org/learn/exploring-beethoven-piano-sonatas-4) | Itm. | 5 | Free | × | Curtis Institute of Music |
| | [Exploring Beethoven's Piano Sonatas Part 5](https://www.coursera.org/learn/exploring-beethoven-piano-sonatas-5) | Itm. | 7 | Free | × | Curtis Institute of Music |
| | [Exploring Beethoven's Piano Sonatas Part 6](https://www.coursera.org/learn/exploring-beethoven-piano-sonatas-6) | Itm. | 6 | Free | × | Curtis Institute of Music |
| | [Fundamentals of Audio and Music Engineering: Part 1 Musical Sound & Electronics](https://www.coursera.org/learn/audio-engineering) | Mix. | 14 | Free | × | University of Rochester |
| | [Fundamentals of Rehearsing Music Ensembles](https://www.coursera.org/learn/music-ensembles) | Mix. | 21 | Free | × | The University of North Carolina at Chapel Hill |
| | [History of Rock, Part One](https://www.coursera.org/learn/history-of-rock) | Mix. | 13 | Free | × | University of Rochester |
| | [History of Rock, Part Two](https://www.coursera.org/learn/history-of-rock-2) | Mix. | 12 | Free | × | University of Rochester |
| | [Introduction to Classical Music](https://www.coursera.org/learn/introclassicalmusic) | Mix. | 65 | Free | ○ | Yale University |
| | [Music and Social Action](https://www.coursera.org/learn/music-and-social-action) | Mix. | 25 | Free | × | Yale University |
| | [Music as Biology: What We Like to Hear and Why](https://www.coursera.org/learn/music-as-biology) | Mix. | 17 | Free | × | Duke University |
| | [Teaching the Violin and Viola: Creating a Healthy Foundation](https://www.coursera.org/learn/teach-violin-lessons) | Mix. | 12 | Free | × | Northwestern University |
| | [The American South: Its Stories, Music, and Art](https://www.coursera.org/learn/the-south) | Mix. | 7 | | × | The University of North Carolina at Chapel Hill |
| | [The Beauty of Kunqu Opera](https://www.coursera.org/learn/kunqu-opera) | Mix. | 9 | Free | × | The Chinese University of Hong Kong |
| | [The Blues: Understanding and Performing an American Art Form](https://www.coursera.org/learn/the-blues) | Mix. | 11 | Free | × | University of Rochester |
| | [The Music of the Beatles](https://www.coursera.org/learn/the-beatles) | Mix. | 14 | Free | × | University of Rochester |
| | [The Music of the Rolling Stones, 1962-1974](https://www.coursera.org/learn/rolling-stones) | Mix. | 13 | Free | × | University of Rochester |
| | [Today’s Music Industry](https://www.coursera.org/learn/music-industry) | Mix. | 14 | Free | × | West Virginia University |
| | [Understanding the Music Business: What is Music Worth?](https://www.coursera.org/learn/musicbiz) | Mix. | 18 | | × | Vanderbilt University |
| | [Write Like Mozart: An Introduction to Classical Music Composition](https://www.coursera.org/learn/classical-composition) | Mix. | 15 | Free | × | National University of Singapore |
## [Coursera / Course : Others](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Health | [Biohacking Your Brain's Health](https://www.coursera.org/learn/biohacking-your-brains-health) | Bgn. | 14 | ○ | × | Emory University |
| | [Hacking Exercise For Health. The surprising new science of fitness](https://www.coursera.org/learn/hacking-exercise-health) | Bgn. | 23 | ○ | × | McMaster University |
| | [Science of Exercise](https://www.coursera.org/learn/science-exercise) | Bgn. | 10 | ○ | ○ | University of Colorado Boulder |
| | [Stanford Introduction to Food and Health](https://www.coursera.org/learn/food-and-health) | Bgn. | 7 | × | ○ | Stanford University |
| | [Vital Signs: Understanding What the Body Is Telling Us](https://www.coursera.org/learn/vital-signs) | - | 14 | ○ | ○ | University of Pennsylvania |
| Parenting | [Global Quality Maternal and Newborn Care](https://www.coursera.org/learn/global-quality-maternal-and-newborn-care) | Itm. | 18 | ○ | × | Yale University |
| | [Nutrition and Lifestyle in Pregnancy](https://www.coursera.org/learn/nutrition-pregnancy) | Itm. | 7 | × | ○ | Ludwig-Maximilians-Universität München |
| | [Stanford's Short Course on Breastfeeding](https://www.coursera.org/learn/breastfeeding) | Bgn. | 5 | × | × | Stanford University |
## [Coursera / Project : Dart & Flutter](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| Dart | [Introduction to Dart](https://www.coursera.org/projects/googlecloud-introduction-to-dart-z35cr) | Bgn. | 1.5 | ○ | × | Google Cloud |
| | [Dart: Variables, Data Structures, Objects, and Conditionals](https://www.coursera.org/projects/googlecloud-dart-variables-data-structures-objects-and-conditionals-f5y74) | Bgn. | 1.5 | ○ | × | Google Cloud |
| | [Dart: Using Functions with Lists and Maps](https://www.coursera.org/projects/googlecloud-dart-using-functions-with-lists-and-maps-lpiu9) | Bgn. | 1.5 | ○ | × | Google Cloud |
| | [Dart: Introducing Class Abstraction](https://www.coursera.org/projects/googlecloud-dart-introducing-class-abstraction-8fgni) | Bgn. | 1.5 | ○ | × | Google Cloud |
| (Flutter) | [Getting started with Flutter Development](https://www.coursera.org/projects/googlecloud-getting-started-with-flutter-development-guo1q) | Bgn. | 1 | ○ | × | Google Cloud |
| | [Material Components for Flutter Basics](https://www.coursera.org/projects/googlecloud-material-components-for-flutter-basics-kv4oe) | Bgn. | 1 | ○ | × | Google Cloud |
| | [Dart Functions Framework](https://www.coursera.org/projects/googlecloud-dart-functions-framework-pwgrx) | Bgn. | 1 | ○ | × | Google Cloud |
| | [Flutter Startup Namer](https://www.coursera.org/projects/googlecloud-flutter-startup-namer-mwo0b) | Bgn. | 1 | ○ | × | Google Cloud |
| | [Flutter Qwik Start](https://www.coursera.org/projects/googlecloud-flutter-qwik-start-tzik1) | Bgn. | 1 | ○ | × | Google Cloud |
| | [Build a Two Screen Flutter Application](https://www.coursera.org/projects/googlecloud-build-a-two-screen-flutter-application-nembm) | Bgn. | 1 | ○ | × | Google Cloud |
| | [Flutter Web and Firebase Authentication](https://www.coursera.org/projects/googlecloud-flutter-web-and-firebase-authentication-gfue4) | Bgn. | 1 | ○ | × | Google Cloud |
| | [Implementing Page Navigation in a Flutter Application](https://www.coursera.org/projects/googlecloud-implementing-page-navigation-in-a-flutter-application-5nia6) | Bgn. | 1.5 | ○ | × | Google Cloud |
| | [Working with Onscreen Data in a Flutter Application](https://www.coursera.org/projects/googlecloud-working-with-onscreen-data-in-a-flutter-application-jtyou) | Bgn. | 1.5 | ○ | × | Google Cloud |
## [Coursera / Guided Project](#list)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Note |
|:-:|:--|:-:|--:|:-:|:-:|:-:|
| AI / Analytics | [Creating a Wordcloud using NLP and TF-IDF in Python](https://www.coursera.org/projects/wordcloud-nlp-tfidf-python) | Bgn. | 1.5 | ○ | × | |
| | [Introduction to Sentiment Analysis in R with quanteda](https://www.coursera.org/projects/sentiment-analysis-in-r-with-quanteda) | Bgn. | 2 | ○ | × | |
| | [Machine Learning Pipelines with Azure ML Studio](https://www.coursera.org/projects/azure-machine-learning-studio-pipeline) | Bgn. | 2 | ○ | × | |
| | [NLP: Twitter Sentiment Analysis](https://www.coursera.org/projects/twitter-sentiment-analysis) | Bgn. | 2 | ○ | × | |
| | [Segment your market using factor analysis with R programming](https://www.coursera.org/projects/segment-your-market-using-factor-analysis-with-r-programming) | Adv. | 2 | ○ | × | Deprecated |
| | [TensorFlow for AI: Get to Know Tensorflow](https://www.coursera.org/projects/tensorflow-for-ai-get-to-know-tensorflow) | Itm. | 1.5 | ○ | × | |
| | [Using Shiny to Plot Differential Gene Expression](https://www.coursera.org/projects/shiny-to-plot-differential-gene-expression) | Bgn. | 1 | ○ | × | |
| Block Chain | [Cryptocurrency Data Visualization using Plotly Express](https://www.coursera.org/projects/cryptocurrency-data-visualization-using-plotly-express) | Bgn. | 1 | ○ | × | Deprecated |
| | [Introduction to Ethereum DeFi Smart Contract Security & Exploits](https://www.coursera.org/projects/ethereum-smart-contract-security-exploits) | Itm. | 2 | ○ | × | Deprecated |
| Development | [Absolute Basics of COBOL](https://www.coursera.org/projects/absolute-basics-of-cobol) | Bgn. | 1.5 | ○ | × | |
| | [Automation Scripts Using Bash](https://www.coursera.org/projects/auto-scripts-bash) | Itm. | 2 | ○ | × | |
| | [Build a Python GUI with Tkinter](https://www.coursera.org/projects/build-a-python-gui-with-tkinter) | Itm. | 1 | ○ | × | |
| | [Introduction to Bash Shell Scripting](https://www.coursera.org/projects/introduction-to-bash-shell-scripting) | Bgn. | 1 | ○ | × | |
| | [Introduction to Github and Visual Studio Code](https://www.coursera.org/projects/github-visual-studio-code-desktop) | Bgn. | 1 | ○ | × | |
| Investment | [Analyze Stock Data using R and Quantmod Package](https://www.coursera.org/projects/analyze-stock-data-using-r-quantmod) | Bgn. | 2 | ○ | × | |
| | [Build a day trading journal with Google sheets for beginners](https://www.coursera.org/projects/day-trading-stocks-google-sheets) | Bgn. | 1 | ○ | × | |
| | [Create a Buy Signal using RSI in R with the Quantmod Package](https://www.coursera.org/projects/create-rsi-buy-signal-using-r) | Bgn. | 2 | ○ | × | |
| | [Create Technical Stock Charts Using R and Quantmod](https://www.coursera.org/projects/create-technical-stock-charts-r-quantmod) | Bgn. | 2 | ○ | × | |
| | [Screening Stocks for Investment](https://www.coursera.org/projects/screening-stocks-investment) | Itm. | 1 | ○ | × | Deprecated |
| | [Stock Analysis: Create a Buy Signal Filter using R and the Quantmod Package](https://www.coursera.org/projects/create-buy-signal-filter-using-r-quantmod-package) | Bgn. | 2 | ○ | × | |
| ETC | [Build a Full Website using WordPress](https://www.coursera.org/projects/build-a-full-website-using-wordpress) | Adv. | 2 | ○ | × | |
| | [Compose and Program Music in Python using Earsketch](https://www.coursera.org/projects/compose-program-music-in-python-using-earsketch) | Bgn. | 2 | ○ | × | |
| | [Introduction to PowerBI](https://www.coursera.org/projects/introduction-to-power-bi) | Bgn. | 2 | ○ | × | Deprecated |
| | [Utilize LinkedIn for Career Search](https://www.coursera.org/projects/utilize-linkedin-for-career-search) | Itm. | 2 | ○ | × | |
## [Edx / Professional Certificate](#list)
| Subject | Title | Level | Weeks | Payment($) | Koean | Partner | Note |
|:-:|:--|:-:|--:|--:|:-:|:-:|:-:|
| Java | [**Data Structures and Algorithms**](https://www.edx.org/professional-certificate/gtx-data-structures-and-algorithms) | Itm. | 20 | 596 | × | Georgia Institute of Technology | |
| | · [Data Structures & Algorithms I: ArrayLists, LinkedLists, Stacks and Queues](https://www.edx.org/course/data-structures-algorithms-i-arraylists-linkedlists-stacks-and-queues) | Itm. | 5 | 149 | | | |
| | · [Data Structures & Algorithms II: Binary Trees, Heaps, SkipLists and HashMaps](https://www.edx.org/course/data-structures-algorithms-ii-binary-trees-heaps-skiplists-and-hashmaps) | Itm. | 5 | 149 | | | |
| | · [Data Structures & Algorithms III: AVL and 2-4 Trees, Divide and Conquer Algorithms](https://www.edx.org/course/data-structures-algorithms-iii-avl-and-2-4-trees-divide-and-conquer-algorithms) | Itm. | 5 | 149 | | | |
| | · [Data Structures & Algorithms IV: Pattern Matching, Dijkstra's, MST, and Dynamic Programming Algorithms](https://www.edx.org/course/data-structures-algorithms-iv-pattern-matching-djikstras-mst-and-dynamic-programming-algorithms) | Itm. | 5 | 149 | | | |
| Math | [**Introductory Linear Algebra**](https://www.edx.org/professional-certificate/gtx-introductory-linear-algebra) | Itm. | 6 | 398 | × | Georgia Institute of Technology | |
| | · [Linear Algebra I: Linear Equations](https://www.edx.org/course/linear-equations-part-1) | Itm. | 3 | 199 | | | |
| | · [Linear Algebra II: Matrix Algebra](https://www.edx.org/course/matrix-algebra) | Itm. | 3 | 199 | | | |
| Math | [**Applications of Linear Algebra**](https://www.edx.org/professional-certificate/gtx-applications-of-linear-algebra) | Itm. | 6 | 398 | × | Georgia Institute of Technology | |
| | · [Linear Algebra III: Determits and Eigenvalues](https://www.edx.org/course/determits-and-eigenvalues) | Itm. | 3 | 199 | | | |
| | · [Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD](https://www.edx.org/course/orthogonality-symmetric-matrices-and-the-svd) | Itm. | 3 | 199 | | | |
| Statistics | [**Probability/Random Variables**](https://www.edx.org/professional-certificate/gtx-probability-random-variables) | Itm. | 7 | 398 | × | Georgia Institute of Technology | |
| | · [Probability and Statistics I: A Gentle Introduction to Probability](https://www.edx.org/course/probability-and-statistics-i-a-gentle-introduction-to-probability) | Itm. | 3 | 199 | | | |
| | · [Probability and Statistics II: Random Variables – Great Expectations to Bell Curves](https://www.edx.org/course/probability-and-statistics-ii-random-variables-great-expectations-to-bell-curves) | Itm. | 4 | 199 | | | |
| Statistics | [**Statistics, Confidence Intervals and Hypothesis Tests**](https://www.edx.org/professional-certificate/gtx-statistics-confidence-intervals-and-hypothesis-tests) | Itm. | 8 | 398 | × | Georgia Institute of Technology | |
| | · [Probability and Statistics III: A Gentle Introduction to Statistics](https://www.edx.org/course/probability-and-statistics-iii-a-gentle-introduction-to-statistics) | Itm. | 4 | 199 | | | |
| | · [Probability and Statistics IV: Confidence Intervals and Hypothesis Tests](https://www.edx.org/course/probability-and-statistics-iv-confidence-intervals-and-hypothesis-tests) | Itm. | 4 | 199 | | | |
## [Edx / Course](#list)
| Subject | Title | Level | Weeks | Payment($) | Koean | Partner | Note |
|:-:|:--|:-:|--:|--:|:-:|:-:|:-:|
| App Inventor | [Mobile Computing with App Inventor – CS Principles](https://www.edx.org/course/mobile-computing-with-app-inventor-cs-principles-2) | Intro. | 6 | 50 | × | Trinity College | Archived |
| | [Mobile Computing with App Inventor: CS Principles Part II](https://www.edx.org/course/mobile-computing-with-app-inventor-cs-principles-p) | Itm. | 6 | 50 | × | Trinity College | Archived |
| | [MIT App Inventor Certification Exam – Level 1](https://www.edx.org/course/mit-app-inventor-certification-exam-level-1-2) | Intro. | 1 | 49 | × | Massachusetts Institute of Technology | Archived |
| Haskell | [Introduction to Functional Programming](https://www.edx.org/course/introduction-to-functional-programming) | Intro. | 4 | 50 | × | Delft University of Technology | |
| C# | [Introduction to C#](https://learning.edx.org/course/course-v1:Microsoft+DEV204.1x+2T2018) | | | | × | Microsoft | Archived |
| F# | [Programming in F#](https://learning.edx.org/course/course-v1:Microsoft+DEV207.1x+1T2016) | | | | × | Microsoft | Archived |
## [Sololearn / Course](#list)
| Subject | Title | Lessons | Code Project |
|:-:|:--|--:|:-:|
| C | [C](https://www.sololearn.com/learning/1089) | 46 | × |
| C++ | [C++](https://www.sololearn.com/learning/1051) | 87 | ○ |
| C# | [C#](https://www.sololearn.com/learning/1080) | 81 | ○ |
| Data Science | [Data Science](https://www.sololearn.com/learning/1093) | 41 | ○ |
| | [Machine Learning](https://www.sololearn.com/learning/1094) | 54 | ○ |
| Go | [Go](https://www.sololearn.com/learning/1164) | 44 | ○ |
| Java | [Java](https://www.sololearn.com/learning/1068) | 71 | ○ |
| Kotlin | [Kotlin](https://www.sololearn.com/learning/1160) | 34 | ○ |
| Python | [Python Core](https://www.sololearn.com/learning/1073) | 103 | ○ |
| | [Python for Beginners](https://www.sololearn.com/learning/1157) | 45 | ○ |
| | [Intermediate Python](https://www.sololearn.com/learning/1158) | 39 | ○ |
| | [Python Data Structures](https://www.sololearn.com/learning/1159) | 28 | ○ |
| | [Python for Data Science](https://www.sololearn.com/learning/1161) | 27 | ○ |
| | [Python for Finance](https://www.sololearn.com/learning/1139) | 27 | × |
| R | [R](https://www.sololearn.com/learning/1147) | 41 | ○ |
| Ruby | [Ruby](https://www.sololearn.com/learning/1081) | 57 | × |
| SQL | [SQL](https://www.sololearn.com/learning/1060) | 30 | ○ |
| Swift | [Swift 4](https://www.sololearn.com/learning/1075) | 53 | × |
| Web | [Web Development Fundamentals](https://www.sololearn.com/learning/1141) | 35 | × |
| | [HTML](https://www.sololearn.com/learning/1014) | 44 | × |
| | [CSS](https://www.sololearn.com/learning/1023) | 76 | × |
| | [JavaScript](https://www.sololearn.com/learning/1024) | 65 | ○ |
| | [Responsive Web Design](https://www.sololearn.com/learning/1162) | 21 | × |
| | [jQuery](https://www.sololearn.com/learning/1082) | 26 | × |
| | [React + Redux](https://www.sololearn.com/learning/1097) | 23 | × |
| | [Angular + NestJS](https://www.sololearn.com/learning/1092) | 45 | × |
| | [PHP](https://www.sololearn.com/learning/1059) | 51 | × |
| | [Game Development with JS](https://www.sololearn.com/learning/1140) | 24 | × |
| | [Coding for Marketers](https://www.sololearn.com/learning/1165) | 25 | × |
## [Naver Connect / BoostCourse](#list)
| Subject | Title | Level | Free | PayCodeReview | Quiz |
| :-: | :-- | :-: | :-: | :-: | :-: |
| AI | [[부스트캠프 AI Tech 4기] Pre-Course](https://www.boostcourse.org/onlyboostcampaitech4) | 입문 | ○ | × | ○ |
| | [인공지능(AI) 기초 다지기](https://www.boostcourse.org/ai100) | 입문 | ○ | × | ○ |
| | [딥러닝 기초 다지기](https://www.boostcourse.org/ai111) | 입문 | ○ | × | ○ |
| | [파이토치로 만드는 딥러닝 이론](https://www.boostcourse.org/ai213) | 기본 | ○ | × | ○ |
| | [쇼핑데이터를 활용한 머신러닝](https://www.boostcourse.org/ai224) | 기본 | ○ | × | ○ |
| | [그래프와 추천 시스템](https://www.boostcourse.org/ai211) | 기본 | ○ | × | ○ |
| | [인공지능 전문가 특강](https://www.boostcourse.org/ai101) | 입문 | ○ | × | ○ |
| | [머신러닝을 위한 파이썬](https://www.boostcourse.org/ai222) | 기본 | ○ | × | ○ |
| | [텐서플로우로 시작하는 딥러닝 기초](https://www.boostcourse.org/ai212) | 기본 | ○ | ○ | ○ |
| | [파이토치로 시작하는 딥러닝 기초](https://www.boostcourse.org/ai214) | 기본 | ○ | ○ | ○ |
| | [딥러닝을 이용한 자연어 처리](https://www.boostcourse.org/ai331) | 기본 | ○ | × | × |
| | [딥러닝 1단계: 신경망과 딥러닝](https://www.boostcourse.org/ai215) | 기본 | ○ | × | × |
| | [딥러닝 2단계: 심층 신경망 성능 향상시키기](https://www.boostcourse.org/ai216) | 기본 | ○ | × | × |
| | [딥러닝 3단계: 머신러닝 프로젝트 구조화하기](https://www.boostcourse.org/ai217) | 기본 | ○ | × | × |
| | [딥러닝 4단계: 합성곱 신경망 네트워크 (CNN)](https://www.boostcourse.org/ai218) | 기본 | ○ | × | × |
| | [[칸아카데미] 모두를 위한 선형대수학](https://www.boostcourse.org/ai151) | 입문 | ○ | × | ○ |
| | [인공지능을 위한 선형대수](https://www.boostcourse.org/ai251) | 기본 | ○ | × | × |
| | [[하버드] 확률론 기초: Statistics 110](https://www.boostcourse.org/ai152) | 입문 | ○ | × | × |
| Computer Science | [모두를 위한 컴퓨터 과학 (CS50 2019)](https://www.boostcourse.org/cs112) | 입문 | ○ | × | ○ |
| | [모두를 위한 파이썬 (PY4E)](https://www.boostcourse.org/cs122) | 입문 | ○ | × | ○ |
| | [Github으로 따라하는 버전 관리](https://www.boostcourse.org/cs102) | - | ○ | × | ○ |
| | [파이썬을 이용한 웹 스크래핑](https://www.boostcourse.org/cs201) | 기본 | ○ | × | × |
| | [파이썬을 이용한 데이터베이스 처리](https://www.boostcourse.org/cs202) | 기본 | ○ | × | × |
| | [캡스톤 : 파이썬을 이용한 데이터 검색, 처리 및 시각화](https://www.boostcourse.org/cs203) | 기본 | ○ | × | × |
| | [처음 배우는 프로그래밍 (w.파이썬)](https://www.boostcourse.org/cs114) | 입문 | ○ | × | ○ |
| | [자바로 구현하고 배우는 자료구조](https://www.boostcourse.org/cs204) | 기본 | ○ | × | ○ |
| | [[MIT]파이썬을 이용한 알고리즘의 이해](https://www.boostcourse.org/cs113) | 입문 | ○ | × | × |
| | [비전공자를 위한 HTML/CSS](https://www.boostcourse.org/cs120) | 입문 | ○ | × | ○ |
| | [자바스크립트의 시작](https://www.boostcourse.org/cs124) | 입문 | ○ | × | ○ |
| | [쉽게 배우는 자바1](https://www.boostcourse.org/cs126) | 입문 | ○ | × | ○ |
| | [쉽게 배우는 자바2](https://www.boostcourse.org/cs128) | 입문 | ○ | × | ○ |
| Data Science | [모두를 위한 데이터 사이언스](https://www.boostcourse.org/ds101) | 입문 | ○ | × | ○ |
| | [데이터 시각화를 위한 태블로](https://www.boostcourse.org/ds121) | 입문 | ○ | × | ○ |
| | [기초 데이터 분석을 위한 핵심 SQL](https://www.boostcourse.org/ds102) | 입문 | ○ | × | ○ |
| | [Hello, 데이터 사이언스!](https://www.boostcourse.org/ds001) | - | ○ | × | ○ |
| | [DataLit : 데이터다루기](https://www.boostcourse.org/ds103) | 입문 | ○ | × | × |
| | [[MIT] 데이터 사이언스 기초](https://www.boostcourse.org/ds201) | 입문 | ○ | × | × |
| | [캐글 실습으로 배우는 데이터 사이언스](https://www.boostcourse.org/ds116) | 입문 | ○ | × | ○ |
| | [파이썬으로 시작하는 데이터 사이언스](https://www.boostcourse.org/ds112) | 입문 | ○ | × | ○ |
| | [프로젝트로 배우는 데이터사이언스](https://www.boostcourse.org/ds214) | 기본 | ○ | Free | × |
| Mobile | [Hello, 코틀린!](https://www.boostcourse.org/mo001) | - | ○ | × | ○ |
| | [코틀린 프로그래밍 기본 1](https://www.boostcourse.org/mo132) | 입문 | ○ | × | ○ |
| | [코틀린 프로그래밍 기본 2](https://www.boostcourse.org/mo234) | 기본 | ○ | × | ○ |
| | [안드로이드 앱 프로그래밍](https://www.boostcourse.org/mo316) | 심화 | ○ | ○ | × |
| | [iOS 프로그래밍을 위한 스위프트 기초](https://www.boostcourse.org/mo122) | 기본 | ○ | × | ○ |
| | [iOS 앱 프로그래밍](https://www.boostcourse.org/mo326) | 심화 | ○ | ○ | × |
| Web | [웹 접근성 이해](https://www.boostcourse.org/web201) | 입문 | ○ | × | ○ |
| | [웹 프론트엔드 시작하기 (리액트&리덕스)](https://www.boostcourse.org/web231) | 기본 | ○ | × | ○ |
| | [웹 프로그래밍(풀스택)](https://www.boostcourse.org/web316) | 심화 | ○ | ○ | × |
| | [웹 백엔드](https://www.boostcourse.org/web326) | 심화 | ○ | ○ | × |
| | [웹 UI 개발](https://www.boostcourse.org/web344) | 심화 | ○ | ○ | ○ |
## [Elice Academy / Free Course](#list)
| Subject | Title | Level | Problems |
|:-:|:--|:-:|:-:|
| C | [Do it! C언어 입문](https://academy.elice.io/courses/18909) | 입문 | 109 |
| | [모두의 C언어](https://academy.elice.io/courses/18876) | 입문 | 133 |
| | [혼자 공부하는 C언어](https://academy.elice.io/courses/18898) | 입문 | 157 |
| Java | [Do it! 첫 코딩](https://academy.elice.io/courses/18865) | 입문 | 21 |
| | [생활코딩! 자바 프로그래밍 입문](https://academy.elice.io/courses/19967) | 입문 | 101 |
| | [Do it! 자바 프로그래밍 입문](https://academy.elice.io/courses/18835) | 입문 | 248 |
| Python | [모두의 파이썬](https://academy.elice.io/courses/18895) | 입문 | 49 |
| | [Do it! 첫 파이썬](https://academy.elice.io/courses/18873) | 입문 | 60 |
| | [혼자 공부하는 첫 프로그래밍 with 파이썬](https://academy.elice.io/courses/18891) | 입문 | 88 |
| | [똑똑한 파이썬](https://academy.elice.io/courses/18950) | 입문 | 99 |
| | [Do it! 파이썬 생활 프로그래밍](https://academy.elice.io/courses/18893) | 입문 | 111 |
| | [프로그래밍 PYTHON](https://academy.elice.io/courses/21468) | 입문 | 118 |
| | [혼자 공부하는 파이썬](https://academy.elice.io/courses/18859) | 입문 | 174 |
| | [시간순삭 파이썬](https://academy.elice.io/courses/18946) | 입문 | 184 |
| | [따라하며 배우는 파이썬과 데이터 과학](https://academy.elice.io/courses/18864) | 입문 | 236 |
| | [예제 중심 파이썬 입문](https://academy.elice.io/courses/18945) | 초급 | 227 |
| Scratch | [모두의 스크래치](https://academy.elice.io/courses/18821) | 입문 | 134 |
| 데이터 분석 | [파이썬으로 데이터 주무르기](https://academy.elice.io/courses/18836) | 입문 | 91 |
| | [Do it! 쉽게 배우는 R 데이터 분석](https://academy.elice.io/courses/18863) | 입문 | 104 |
| | [모두의 데이터 분석 with 파이썬](https://academy.elice.io/courses/18829) | 초급 | 59 |
| 알고리즘 | [체셔의 퀴즈](https://academy.elice.io/courses/18914) | - | - |
| | [모두의 스크래치 알고리즘](https://academy.elice.io/courses/18900) | 초급 | 34 |
| | [모두의 알고리즘 with 파이썬](https://academy.elice.io/courses/18828) | 초급 | 47 |
| | [파이썬 알고리즘](https://academy.elice.io/courses/18858) | - | 76 |
| 웹 | [Do it! HTML5+CSS3 웹 표준의 정석](https://academy.elice.io/courses/18908) | 입문 | 92 |
| | [생활코딩! HTML + CSS + 자바스크립트](https://academy.elice.io/courses/19968) | 입문 | 140 |
| | [Do it! 자바스크립트+제이쿼리 입문](https://academy.elice.io/courses/18890) | 입문 | 155 |
| | [Do it! HTML + CSS + 자바스크립트 웹 표준의 정석](https://academy.elice.io/courses/18881) | 입문 | 217 |
| | [Do it! 장고+부트스트랩](https://academy.elice.io/courses/18877) | 초급 | 141 |
| 인공지능 | [모두의 딥러닝](https://academy.elice.io/courses/18841) | 초급 | 32 |
| | [혼자 공부하는 머신러닝+딥러닝](https://academy.elice.io/courses/18879) | 초급 | 93 |
| | [Do it! 딥러닝 입문](https://academy.elice.io/courses/18913) | 고급 | 46 |
| 챌린지 | [Java 레벨 테스트](https://academy.elice.io/courses/18878) | 입문 | 20 |
| | [파이썬 레벨 테스트](https://academy.elice.io/courses/18831) | 초급 | 30 |
| | [주간 알고리즘](https://academy.elice.io/courses/18888) | - | - |
## [ETC](#list)
| Category | Language | Organization | Tutorial | Wikipedia |
|:-:|:-:|:-:|:-:|:-:|
| Classic Languages | Ada | [ada2012.org](https://www.ada2012.org/) | link | [Kr](https://ko.wikipedia.org/wiki/에이다_(프로그래밍_언어)) [En](https://en.wikipedia.org/wiki/Ada_(programming_language)) |
| | Algol | [algol68.org](http://www.algol68.org/) | link | [Kr](https://ko.wikipedia.org/wiki/알골_(프로그래밍_언어)) [En](https://en.wikipedia.org/wiki/ALGOL) |
| | B | [Bell Labs](https://www.bell-labs.com/usr/dmr/www/bintro.html) | link | [Kr](https://ko.wikipedia.org/wiki/B_(프로그래밍_언어)) [En](https://en.wikipedia.org/wiki/B_(programming_language)) |
| | COBOL | [IBM](https://developer.ibm.com/languages/cobol/) | [tutorialspoint](https://www.tutorialspoint.com/cobol/) | [Kr](https://ko.wikipedia.org/wiki/코볼) [En](https://en.wikipedia.org/wiki/COBOL) |
| | Delphi | [Enbracadero](https://www.embarcadero.com/products/delphi) | link | [Kr](https://ko.wikipedia.org/wiki/델파이) [En](https://en.wikipedia.org/wiki/Delphi_(software)) |
| | Fortran | [fortran-lang.org](https://fortran-lang.org/) | [tutorialspoint](https://www.tutorialspoint.com/fortran/) | [Kr](https://ko.wikipedia.org/wiki/포트란) [En](https://en.wikipedia.org/wiki/Fortran) |
| | GW-BASIC | [gw-basic.com](http://gw-basic.com/) | link | [Kr](https://ko.wikipedia.org/wiki/GW_베이직) [En](https://en.wikipedia.org/wiki/GW-BASIC) |
| | Pascal | [freepascal.org](https://www.freepascal.org/) | [tutorialspoint](https://www.tutorialspoint.com/pascal/) | [Kr](https://ko.wikipedia.org/wiki/파스칼_(프로그래밍_언어)) [En](https://en.wikipedia.org/wiki/Pascal_(programming_language)) |
| | QuickBASIC | [qbasic.net](https://www.qbasic.net/) | [pittajarn.lpru.ac.th](http://pittajarn.lpru.ac.th/~nukit/basic/tutorial_basic.pdf) | [Kr](https://ko.wikipedia.org/wiki/퀵베이직) [En](https://en.wikipedia.org/wiki/QuickBASIC) |
| | Small Talk | [gnu.org](https://www.gnu.org/software/smalltalk/manual/html_node/Tutorial.html) | link | [Kr](https://ko.wikipedia.org/wiki/스몰토크) [En](https://en.wikipedia.org/wiki/Smalltalk) |
| Functional Programming | Clojure | [clojure.org](https://clojure.org/) | [tutorialspoint](https://www.tutorialspoint.com/clojure/) | [Kr](https://ko.wikipedia.org/wiki/클로저_(프로그래밍_언어)) [En](https://en.wikipedia.org/wiki/Clojure) |
| | Erlang | [erlang.org](https://www.erlang.org/) | [tutorialspoint](https://www.tutorialspoint.com/erlang/) | [Kr](https://ko.wikipedia.org/wiki/얼랭) [En](https://en.wikipedia.org/wiki/Erlang_(programming_language)) |
| | F# | [fsharp.org](https://fsharp.org/) | [tutorialspoint](https://www.tutorialspoint.com/fsharp/) | [Kr](https://ko.wikipedia.org/wiki/F_샤프) [En](https://en.wikipedia.org/wiki/F_Sharp_(programming_language)) |
| | Haskell | [haskell.org](https://www.haskell.org/) | [tutorialspoint](https://www.tutorialspoint.com/haskell/) | [Kr](https://ko.wikipedia.org/wiki/하스켈) [En](https://en.wikipedia.org/wiki/Haskell) |
| | Common Lisp | [lisp-lang.org](https://lisp-lang.org/) | [tutorialspoint](https://www.tutorialspoint.com/lisp/) | [Kr](https://ko.wikipedia.org/wiki/커먼_리스프) [En](https://en.wikipedia.org/wiki/Common_Lisp) |
| | OCaml | [ocaml.org](https://ocaml.org/) | link | [Kr](https://ko.wikipedia.org/wiki/OCaml) [En](https://en.wikipedia.org/wiki/OCaml) |
| | Racket | [racket-lang.org](https://racket-lang.org/) | link | [Kr](https://ko.wikipedia.org/wiki/래킷_(프로그래밍_언어)) [En](https://en.wikipedia.org/wiki/Racket_(programming_language)) |
| | Scala | [scala-lang.org](https://www.scala-lang.org/) | [tutorialspoint](https://www.tutorialspoint.com/scala/) | [Kr](https://ko.wikipedia.org/wiki/스칼라_(프로그래밍_언어)) [En](https://en.wikipedia.org/wiki/Scala_(programming_language)) |
| | Scheme | [scheme-reports.org](http://scheme-reports.org/) | link | [Kr](https://ko.wikipedia.org/wiki/스킴_(프로그래밍_언어)) [En](https://en.wikipedia.org/wiki/Scheme_(programming_language)) |
| | SML | [smlfamily.github.io](https://smlfamily.github.io/) | link | [Kr](https://ko.wikipedia.org/wiki/표준_ML) [En](https://en.wikipedia.org/wiki/Standard_ML) |