{"id":21590607,"url":"https://github.com/anishlearnstocode/course-list","last_synced_at":"2026-01-04T15:02:32.624Z","repository":{"id":50357134,"uuid":"219344707","full_name":"anishLearnsToCode/course-list","owner":"anishLearnsToCode","description":"A comprehensive ist of all courses I have taken and successfully completed in University 🎓, Coursera 📗, Udemy etc. ","archived":false,"fork":false,"pushed_at":"2022-08-04T09:59:32.000Z","size":1205,"stargazers_count":31,"open_issues_count":0,"forks_count":6,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-03-18T10:14:40.334Z","etag":null,"topics":["cern","coding-ninjas","computer-vision","course-work","coursera","courses","deep-learning","delhi-technological-university","dtu","french","hackerrank","machine-learning","ml","mooc","programming","specialization","trinity-college-london","udemy"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/anishLearnsToCode.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2019-11-03T18:16:20.000Z","updated_at":"2025-01-30T16:19:06.000Z","dependencies_parsed_at":"2022-09-06T16:21:53.424Z","dependency_job_id":null,"html_url":"https://github.com/anishLearnsToCode/course-list","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/anishLearnsToCode/course-list","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anishLearnsToCode%2Fcourse-list","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anishLearnsToCode%2Fcourse-list/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anishLearnsToCode%2Fcourse-list/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anishLearnsToCode%2Fcourse-list/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/anishLearnsToCode","download_url":"https://codeload.github.com/anishLearnsToCode/course-list/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anishLearnsToCode%2Fcourse-list/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28205021,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2026-01-04T02:00:06.065Z","response_time":58,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cern","coding-ninjas","computer-vision","course-work","coursera","courses","deep-learning","delhi-technological-university","dtu","french","hackerrank","machine-learning","ml","mooc","programming","specialization","trinity-college-london","udemy"],"created_at":"2024-11-24T16:19:23.743Z","updated_at":"2026-01-04T15:02:32.596Z","avatar_url":"https://github.com/anishLearnsToCode.png","language":null,"readme":"# Courses + Certifications\n\nA comprehensive list of all the courses that I have successfully completed \nduring university and also on other platforms such as Coursera, Udemy etc.\n\n\u003e Links to solution repositories are marked as :octocat: and certificate links marked as 🎓.\n\n## Index\n- [B. Tech Mathematics and Computing @ DTU](#mathematics--computing--delhi-technological-university)\n- [Coursera](#coursera)\n- [HackerRank](#hackerrank)\n- [Udemy](#udemy)\n- [CERN](#cern)\n- [Trinity College London](#trinity-college-london)\n- [Coding Ninjas](#coding-ninjas)\n\n## Mathematics \u0026 Computing @ Delhi Technological University\n\u003cdetails\u003e\n    \u003csummary\u003e\u003cb\u003eSemester - I\u003c/b\u003e\u003c/summary\u003e\n    \u003cul\u003e\n        \u003cli\u003eMathematics - I (MA-101)\u003c/li\u003e\n        \u003cli\u003ePhysics - I (AP-101)\u003c/li\u003e\n        \u003cli\u003eBasic Electrical Engineering (EE-102)\u003c/li\u003e\n        \u003cli\u003eProgramming Fundamentals (CO-101)\u003c/li\u003e\n        \u003cli\u003eEngineering Graphics (ME-102)\u003c/li\u003e\n        \u003cli\u003eIntroduction to Environmental Science (EN-102)\u003c/li\u003e\n    \u003c/ul\u003e\n\u003c/details\u003e\n\n\u003cdetails\u003e\n    \u003csummary\u003e\u003cb\u003eSemester - II\u003c/b\u003e\u003c/summary\u003e\n    \u003cul\u003e\n        \u003cli\u003eMathematics - II (MA-102)\u003c/li\u003e\n        \u003cli\u003ePhysics - II (AP-102)\u003c/li\u003e\n        \u003cli\u003eChemistry (AC-101)\u003c/li\u003e\n        \u003cli\u003eBasic Mechanical Engineering (ME-101)\u003c/li\u003e\n        \u003cli\u003eWorkshop Practice (ME-103)\u003c/li\u003e\n        \u003cli\u003eCommunication Skills (HU-101)\u003c/li\u003e\n    \u003c/ul\u003e\n\u003c/details\u003e\n\n\u003cdetails\u003e\n    \u003csummary\u003e\u003cb\u003eSemester - III\u003c/b\u003e\u003c/summary\u003e\n    \u003cul\u003e\n        \u003cli\u003eData Structures (CS-251)\u003c/li\u003e\n        \u003col\u003e\n            \u003cli\u003e\u003ca href=\"https://github.com/anishLearnsToCode/cs-251-data-structures\"\u003eData Structures Lab\u003c/a\u003e\u003c/li\u003e\n        \u003c/ol\u003e\n        \u003cli\u003eDiscrete Mathematics (MC-201)\u003c/li\u003e\n        \u003cli\u003eMathematics - III (MC-203)\u003c/li\u003e\n        \u003cli\u003eProbability and Statistics (MC-205)\u003c/li\u003e\n        \u003cli\u003eEngineering Analysis and Design (MC-207)\u003c/li\u003e\n        \u003cli\u003eFundamentals of Management (MG-201)\u003c/li\u003e\n    \u003c/ul\u003e\n\u003c/details\u003e\n\n\u003cdetails\u003e\n    \u003csummary\u003e\u003cb\u003eSemester - IV\u003c/b\u003e\u003c/summary\u003e\n    \u003cul\u003e\n        \u003cli\u003eAlgorithm Design and Analysis (CS-262)\u003c/li\u003e\n        \u003cli\u003eReal Analysis (MC-202)\u003c/li\u003e\n        \u003cli\u003eComputer Organization and Architecture (MC-206)\u003c/li\u003e\n        \u003cli\u003eLinear Algebra (MC-208)\u003c/li\u003e\n        \u003cli\u003eScientific Computing (MC-204)\u003c/li\u003e\n        \u003cli\u003eEngineering Economics (HU-202)\u003c/li\u003e\n    \u003c/ul\u003e\n\u003c/details\u003e\n\n\u003cdetails\u003e\n    \u003csummary\u003e\u003cb\u003eSemester - V\u003c/b\u003e\u003c/summary\u003e\n    \u003cul\u003e\n        \u003cli\u003eStochastic Process (MC-303)\u003c/li\u003e\n        \u003cli\u003eOperating Systems (MC-301)\u003c/li\u003e\n        \u003cli\u003eComputer Vision (EC-353)\u003c/li\u003e\n        \u003col\u003e\n            \u003cli\u003e\u003ca href=\"https://github.com/anishLearnsToCode/computer-vision-basics\"\u003eComputer Vision Basics @ Coursera\u003c/a\u003e \u003c/li\u003e\n            \u003cli\u003e\u003ca href=\"https://github.com/anishLearnsToCode/from-mars-to-hollywood-with-a-stop-at-the-hospital\"\u003eFrom Mars To Hollywood with a Stop at the Hospital @ Coursera\u003c/a\u003e \u003c/li\u003e\n            \u003cli\u003e\u003ca href=\"https://github.com/anishLearnsToCode/nature-encoded-fusion\"\u003eRepresentation Learning and Nature Encoded Fusion Technique for Heterogeneous Sensor Networks\u003c/a\u003e \u003c/li\u003e\n        \u003c/ol\u003e\n        \u003cli\u003eTechnical Communication (HU-301)\u003c/li\u003e\n    \u003c/ul\u003e\n\u003c/details\u003e\n\n\u003cdetails\u003e\n    \u003csummary\u003e\u003cb\u003eSemester - VI\u003c/b\u003e\u003c/summary\u003e\n    \u003cul\u003e\n        \u003cli\u003eDatabase Management System (MC-302)\u003c/li\u003e\n        \u003cli\u003eTheory of Computation (MC-304)\u003c/li\u003e\n        \u003cli\u003eFinancial Engineering (MC-306)\u003c/li\u003e\n        \u003cli\u003eComputer Networks (MC-308)\u003c/li\u003e\n        \u003cli\u003eProfessional Ethics and Human Values (HU-304)\u003c/li\u003e\n    \u003c/ul\u003e\n\u003c/details\u003e\n\n\u003cdetails\u003e\n    \u003csummary\u003e\u003cb\u003eSemester - VII\u003c/b\u003e\u003c/summary\u003e\n    \u003cul\u003e\n        \u003cli\u003eGraph Theory (MC-405)\u003c/li\u003e\n        \u003col\u003e\n            \u003cli\u003e\u003ca href=\"https://github.com/anishLearnsToCode/graph-theory-lab\"\u003eGraph Theory Lab\u003c/a\u003e \u003c/li\u003e\n            \u003cli\u003e\u003ca href=\"https://github.com/anishLearnsToCode/image2sketch\"\u003eImage-2-Sketch 🖼✏\u003c/a\u003e \u003c/li\u003e\n        \u003c/ol\u003e\n        \u003cli\u003eCryptography \u0026 Network Security (MC-407)\u003c/li\u003e\n        \u003col\u003e\n            \u003cli\u003e\u003ca href=\"https://github.com/anishLearnsToCode/intro-to-applied-cryptography\"\u003eIntroduction to Applied Cryptography Specialization @Coursera\u003c/a\u003e \u003c/li\u003e\n            \u003cli\u003e\u003ca href=\"https://github.com/anishLearnsToCode/applied-cryptography\"\u003eApplied Cryptography Specialization @Coursera\u003c/a\u003e \u003c/li\u003e\n            \u003cli\u003e\u003ca href=\"https://github.com/anishLearnsToCode/cryptography\"\u003eInteractive Guide to Cryptography\u003c/a\u003e \u003c/li\u003e\n            \u003cli\u003e\u003ca href=\"https://github.com/anishLearnsToCode/DES\"\u003eData Encryption Standard (DES)\u003c/a\u003e \u003c/li\u003e\n            \u003cli\u003e\u003ca href=\"https://github.com/anishLearnsToCode/lsb-image-steganography\"\u003eLeast Significant Bit (LSB) Image Steganography\u003c/a\u003e \u003c/li\u003e\n        \u003c/ol\u003e\n        \u003cli\u003eMathematical Modelling \u0026 Simulation (MC-409)\u003c/li\u003e\n        \u003col\u003e\n            \u003cli\u003e\u003ca href=\"https://github.com/anishLearnsToCode/mathematical-modelling-lab\"\u003eMathematical Modelling \u0026 Simulation Lab\u003c/a\u003e \u003c/li\u003e\n        \u003c/ol\u003e\n        \u003cli\u003eNatural Language Processing (IT-425)\u003c/li\u003e\n        \u003col\u003e\n            \u003cli\u003e\u003ca href=\"https://github.com/anishLearnsToCode/nlp-deeplearning-ai\"\u003eNatural Language Processing ~DeepLearning.ai @Coursera\u003c/a\u003e \u003c/li\u003e\n            \u003cli\u003e\u003ca href=\"https://github.com/anishLearnsToCode/porter-stemmer\"\u003ePorter Stemmer\u003c/a\u003e \u003c/li\u003e\n            \u003cli\u003e\u003ca href=\"https://github.com/anishLearnsToCode/stop-words-removal\"\u003eStop Words Removal\u003c/a\u003e \u003c/li\u003e\n            \u003cli\u003e\u003ca href=\"https://github.com/anishLearnsToCode/lemmatization\"\u003eLemmatization\u003c/a\u003e \u003c/li\u003e\n            \u003cli\u003e\u003ca href=\"https://github.com/anishLearnsToCode/bow-representation\"\u003eBag of Words Representation\u003c/a\u003e \u003c/li\u003e\n            \u003cli\u003e\u003ca href=\"https://github.com/anishLearnsToCode/word-embeddings\"\u003eContinuous Bag of Words (CBOW) Model\u003c/a\u003e \u003c/li\u003e\n            \u003cli\u003e\u003ca href=\"https://github.com/anishLearnsToCode/word-sense-disambiguation\"\u003eWord Sense Disambiguation (WSD)\u003c/a\u003e \u003c/li\u003e\n        \u003c/ol\u003e\n    \u003c/ul\u003e\n\u003c/details\u003e\n\n\u003cdetails\u003e\n    \u003csummary\u003e\u003cb\u003eSemester - VIII\u003c/b\u003e\u003c/summary\u003e\n    \u003cul\u003e\n        \u003cli\u003ePartial Differential Equations (MC-406)\u003c/li\u003e\n        \u003cli\u003eFuzzy Set \u0026 Fuzzy Logic (MC-432)\u003c/li\u003e\n        \u003cli\u003ePattern Recognition (EC-416)\u003c/li\u003e\n        \u003col\u003e\n            \u003cli\u003e\u003ca href=\"https://github.com/anishLearnsToCode/pattern-recognition-lab\"\u003ePattern Recognition Lab Experiments\u003c/a\u003e \u003c/li\u003e\n        \u003c/ol\u003e\n    \u003c/ul\u003e\n\u003c/details\u003e\n\n## Coursera\n### Courses\n- [Version Control With Git](https://www.coursera.org/learn/version-control-with-git/)  [🎓](https://www.coursera.org/account/accomplishments/verify/UPCHWGAGX66D)\n- [Competitive Programmer's Core Skills](https://www.coursera.org/learn/competitive-programming-core-skills/) [🎓](https://www.coursera.org/account/accomplishments/verify/WPS6KUZMT6YL)\n- [How To Write and Publish a Scientific Paper](https://www.coursera.org/learn/how-to-write-a-scientific-paper/) [🎓](https://www.coursera.org/account/accomplishments/verify/V6NGNQ5ZYQL7)\n- [Data Science Math Skills](https://www.coursera.org/learn/datasciencemathskills) [🎓](https://www.coursera.org/account/accomplishments/verify/QVKVPWWLEZU3)\n- [Introduction to Calculus](https://www.coursera.org/learn/introduction-to-calculus) [🎓](http://coursera.org/verify/NQMRJLG6VTRY)\n- [Functional Programming Principles in Scala](https://www.coursera.org/learn/progfun1/) [🎓](http://coursera.org/verify/CTQZVZZZKT5W)\n- [Machine Learning (Andrew Ng) ~Stanford](https://www.coursera.org/learn/machine-learning) \n  [🎓](http://coursera.org/verify/PY3HEUJFNZ2M) \n  [:octocat:](https://github.com/anishLearnsToCode/ml-stanford)\n- [Introduction to Programming With MATLAB](https://www.coursera.org/learn/matlab) [🎓](http://coursera.org/verify/3S3AANA8JQTN) [:octocat:](https://github.com/anishLearnsToCode/introduction-to-programming-with-matlab)\n- [Computer Vision Basics](https://www.coursera.org/learn/computer-vision-basics) [🎓](http://coursera.org/verify/9H6SGUGD6YNM) [:octocat:](https://github.com/anishLearnsToCode/computer-vision-basics)\n- [Image \u0026 Video Processing: From Mars To Hollywood With a Stop At The Hospital](https://www.coursera.org/learn/image-processing) [🎓](http://coursera.org/verify/JPV9JYDEZVBQ) [:octocat:](https://github.com/anishLearnsToCode/from-mars-to-hollywood-with-a-stop-at-the-hospital)\n\n### Specializations\n- [Deep Learning ~ deeplearning.ai](https://www.coursera.org/specializations/deep-learning) [:octocat:](https://github.com/anishLearnsToCode/deep-learning-ai)\n    - [Neural Networks \u0026 Deep Learning](https://www.coursera.org/learn/neural-networks-deep-learning?specialization=deep-learning) \n      [:octocat:](https://github.com/anishLearnsToCode/neural-networks-deep-learning)\n      [🎓](http://coursera.org/verify/2QP8D8FZ28B7)\n    - [Improving Deep Neural Networks: Hyperparameterization Tuning, Regularization and Optimization](https://www.coursera.org/learn/deep-neural-network?specialization=deep-learning) \n      [:octocat:](https://github.com/anishLearnsToCode/improving-deep-neural-networks)\n      [🎓](https://coursera.org/verify/WLLHPCZSRZ2Y)\n    - [Structuring Machine Learning Projects](https://www.coursera.org/learn/machine-learning-projects?specialization=deep-learning) \n      [:octocat:](https://github.com/anishLearnsToCode/structuring-ml-projects)\n      [🎓](https://coursera.org/verify/SX8LNSPRY6NR)\n    - [Convolutional Neural Networks](https://www.coursera.org/learn/convolutional-neural-networks?specialization=deep-learning) \n      [:octocat:](https://github.com/anishLearnsToCode/cnn-deeplearning-ai)\n      [🎓](https://coursera.org/verify/KN92M6VXUXYA)\n    - [Sequence Models](https://www.coursera.org/learn/nlp-sequence-models)\n      [:octocat:](https://github.com/anishLearnsToCode/sequence-models)\n      [🎓](https://coursera.org/verify/PA9BDUHSNER9)\n   \n- [Natural Language Processing ~ deeplearning.ai](https://www.coursera.org/specializations/natural-language-processing) [:octocat:](https://github.com/anishLearnsToCode/nlp-deeplearning-ai)\n    - [Natural Language Processing with Classification and Vector Spaces](https://www.coursera.org/learn/classification-vector-spaces-in-nlp) [:octocat:](https://github.com/anishLearnsToCode/nlp-classification-vector-spaces) [🎓](http://coursera.org/verify/LGBF7J8S99RG)\n    - [Natural Language Processing with Probabilistic Models](https://www.coursera.org/learn/probabilistic-models-in-nlp) [:octocat:](https://github.com/anishLearnsToCode/nlp-probabilistic-models) [🎓](https://coursera.org/verify/PGMHY4YCG85G)\n\n- [Machine Learning ~ University of Washington](https://www.coursera.org/specializations/machine-learning) [:octocat:](https://github.com/anishLearnsToCode/ml-uni-washington)\n    - [Machine Learning Foundations: A Case Study Approach](https://www.coursera.org/learn/ml-foundations/) [🎓](https://www.coursera.org/account/accomplishments/verify/GCKW98KUK5X5) [:octocat:](https://github.com/anishLearnsToCode/ml-foundations-case-study-approach)\n    - [Machine Learning: Regression](https://www.coursera.org/learn/ml-regression/) [🎓](https://www.coursera.org/account/accomplishments/verify/UQ9UZPVU6RMF)\n    - [Machine Learning: Classification](https://www.coursera.org/learn/ml-classification/) [🎓](https://www.coursera.org/account/accomplishments/verify/BCZ8GWHTNV9J)\n    \n- [Introduction to Applied Cryptography ~ University of Colorado](https://www.coursera.org/specializations/introduction-applied-cryptography) \n  [:octocat:](https://github.com/anishLearnsToCode/intro-to-applied-cryptography)\n    - [Classical Cryptosystems and Core Concepts](https://www.coursera.org/learn/classical-cryptosystems) \n    [:octocat:](https://github.com/anishLearnsToCode/classical-cryptosystems-core-concepts) \n    [🎓](https://www.coursera.org/verify/7FVGRVKAFW73)   \n    - [Mathematical Foundations for Cryptography](https://www.coursera.org/learn/mathematical-foundations-cryptography) \n    [:octocat:](https://github.com/anishLearnsToCode/mathematical-foundations-cryptography) \n    [🎓](http://coursera.org/verify/ZPQF7QGV22XT)\n    - [Symmetric Cryptography](https://www.coursera.org/learn/symmetric-crypto)\n    [:octocat:](https://github.com/anishLearnsToCode/symmetric-cryptography)\n    [🎓](http://coursera.org/verify/KPJPY9LZAFBP)\n    - [Asymmetric Cryptography and Key Management](https://www.coursera.org/learn/asymmetric-crypto)\n    [:octocat:](https://github.com/anishLearnsToCode/asymmetric-cryptography-key-management)\n    [🎓](http://coursera.org/verify/KLZSC7H2JH72)\n    \n - [Applied Cryptography ~ University of Colorado](https://www.coursera.org/specializations/applied-crypto)\n   [:octocat:](https://github.com/anishLearnsToCode/applied-cryptography)\n   - [Cryptography and Information Theory](https://www.coursera.org/learn/crypto-info-theory) \n   [:octocat:](https://github.com/anishLearnsToCode/cryptography-and-information-theory)\n   [🎓](http://coursera.org/verify/XPFM28CP9KHX)\n   - [Symmetric Cryptography](https://www.coursera.org/learn/symmetric-crypto)\n   [:octocat:](https://github.com/anishLearnsToCode/symmetric-cryptography)\n   [🎓](http://coursera.org/verify/KPJPY9LZAFBP)\n   - [Asymmetric Cryptography and Key Management](https://www.coursera.org/learn/asymmetric-crypto)\n   [:octocat:](https://github.com/anishLearnsToCode/asymmetric-cryptography-key-management)\n   [🎓](http://coursera.org/verify/KLZSC7H2JH72)\n   - [Cryptographic Hash and Integrity Protection](https://www.coursera.org/learn/cryptographic-hash-integrity-protection)\n   [:octocat:](https://github.com/anishLearnsToCode/cryptographic-hash-integrity-protection)\n   [🎓](http://coursera.org/verify/XPG8L6K9URV9)\n    \n- [Data Structures and Algorithms ~ University of California San Diego](https://www.coursera.org/specializations/data-structures-algorithms) [:octocat:](https://github.com/anishLearnsToCode/data-structures-algorithms)\n    - [Algorithmic Toolbox](https://www.coursera.org/learn/algorithmic-toolbox) [🎓](http://coursera.org/verify/UWWDZKHQA86D) [:octocat:](https://github.com/anishLearnsToCode/algorithmic-toolbox)\n    \n- [Python For Everybody ~ University of Michigan](https://www.coursera.org/specializations/python) [:octocat:](https://github.com/anishLearnsToCode/python-for-everybody)\n    - [Programming for Everybody (Getting started with Python)](https://www.coursera.org/learn/python/) [🎓](https://www.coursera.org/account/accomplishments/records/D5K85FFC6FZT)\n    - [Python Data Structures](https://www.coursera.org/learn/python-data/) [🎓](https://www.coursera.org/verify/W6M2HC2WW79T)\n\n## HackerRank\n- [Java (Basic)](https://www.hackerrank.com/skills-verification) [🎓](https://www.hackerrank.com/certificates/e7bb326e632c) [:octocat:](https://github.com/anishLearnsToCode/hackerrank-java-basic-skill-test)  \n- [JavaScript (Basic)](https://www.hackerrank.com/skills-verification) [🎓](https://www.hackerrank.com/certificates/03ed5b8c542a) [:octocat:](https://github.com/anishLearnsToCode/hackerrank-js-basic-skill-test)  \n- [Problem Solving (Basic)](https://www.hackerrank.com/skills-verification) [🎓](https://www.hackerrank.com/certificates/c0a4672b1159) [:octocat:](https://github.com/anishLearnsToCode/hackerrank-problem-solving-skill-test)  \n- [Problem Solving (Intermediate)](https://www.hackerrank.com/skills-verification) [🎓](https://www.hackerrank.com/certificates/6ef045988fd1) [:octocat:](https://github.com/anishLearnsToCode/hackerrank-problem-solving-intermediate-skill-test)  \n- [Python (Basic)](https://www.hackerrank.com/skills-verification) [🎓](https://www.hackerrank.com/certificates/306084b1c4cc) [:octocat:](https://github.com/anishLearnsToCode/hackerrank-python-basic-skill-test)  \n\n## Udemy \n- [3-Minute French Course 1](https://www.udemy.com/course/3-minute-french-full-course-1/) [🎓](https://www.udemy.com/certificate/UC-1KECT4EP/)\n- [3-Minute French Course 2](https://www.udemy.com/course/3-minute-french-course-2/) [🎓](https://www.udemy.com/certificate/UC-QA36OCQA/)\n- [3-Minute French Course 3](https://www.udemy.com/course/3-minute-french-course-3) [🎓](https://cern.udemy.com/certificate/UC-e1a63b61-40e1-4cd7-967f-4131ea6a905e)\n- [Web Design for Web Developers](https://www.udemy.com/course/web-design-secrets/) [🎓](https://www.udemy.com/certificate/UC-8KTW4FNX/)\n- [The Complete PL/SQL Bootcamp : \"Beginner to Advanced PL/SQL\"](https://www.udemy.com/course/plsql-beginner-to-advanced-become-a-perfect-plsql-developer) [🎓](https://www.udemy.com/certificate/UC-cdd4269b-3e47-4a36-a276-3fe321bc2141)\n- [Clean Code](https://www.udemy.com/course/writing-clean-code) [🎓](https://www.udemy.com/certificate/UC-6fb021d4-5233-46ac-a9bb-34aa7db0aafa/)\n\n## CERN\n- French A2.1 Certification [🎓](cern/french-a2.1-certificate-anish-sachdeva.pdf)\n- French A2.2 Certification [🎓](cern/french-a2.2-certificate-anish-sachdeva.pdf)\n- French B1.1 Certification [🎓](cern/french-b1.1-certificate-anish-sachdeva.pdf)\n\n## Trinity College London\n\u003cdetails\u003e\n    \u003csummary\u003e\u003cb\u003ePlectrum Guitar\u003c/b\u003e\u003c/summary\u003e\n    \u003cul\u003e\n        \u003cli\u003ePlectrum Guitar Grade 1 (Distinction)\u003c/li\u003e\n        \u003cli\u003ePlectrum Guitar Grade 2 (Distinction)\u003c/li\u003e\n        \u003cli\u003ePlectrum Guitar Grade 3 (Merit)\u003c/li\u003e\n        \u003cli\u003ePlectrum Guitar Grade 4 (Distinction)\u003c/li\u003e\n    \u003c/ul\u003e\n\u003c/details\u003e\n\n## Coding Ninjas\n\u003cdetails\u003e\n    \u003csummary\u003e\u003cb\u003eCourses\u003c/b\u003e\u003c/summary\u003e\n    \u003cul\u003e\n        \u003cli\u003eAlchemy: Web Development with Ruby on Rails\u003c/li\u003e\n        \u003cli\u003eEminence: Competitive Programming\u003c/li\u003e\n        \u003cli\u003eNucleus: Java with Data Structures\u003c/li\u003e\n    \u003c/ul\u003e\n\u003c/details\u003e\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanishlearnstocode%2Fcourse-list","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanishlearnstocode%2Fcourse-list","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanishlearnstocode%2Fcourse-list/lists"}