https://github.com/edaaydinea/ibmapplieddatascience
https://github.com/edaaydinea/ibmapplieddatascience
Last synced: 7 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/edaaydinea/ibmapplieddatascience
- Owner: edaaydinea
- License: apache-2.0
- Created: 2024-08-01T19:43:34.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-08-22T16:59:00.000Z (about 1 year ago)
- Last Synced: 2024-08-22T19:14:39.551Z (about 1 year ago)
- Language: Jupyter Notebook
- Size: 443 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# IBM Applied Data Science Specialization
* **Where:** Coursera
* **University/Institute:** IBM
* **Status:** In Progress
## Courses in this Specialization
Python for Data Science, AI & Development
* **Status:** In Progress
* **Link:** /\<\>
Python Project for Data Science
* **Status:** Not Started
* **Link:** /\<\>
Data Analysis with Python
* **Status:** Not Started
* **Link:** /\<\>
Data Visualization with Python
* **Status:** Not Started
* **Link:** /\<\>
Applied Data Science Capstone
* **Status:** Not Started
* **Link:** /\<\>
...
## Courses
### Python for Data Science, AI & Development
**Week1:Python Basics**
* **Notebooks:**
* [FirstProgram.ipynb](https://github.com/edaaydinea/IBMAppliedDataScience/blob/main/L1/Week1/FirstProgram.ipynb)
* [Strings.ipynb](https://github.com/edaaydinea/IBMAppliedDataScience/blob/main/L1/Week1/Strings.ipynb)
* [Types.ipynb](https://github.com/edaaydinea/IBMAppliedDataScience/blob/main/L1/Week1/Types.ipynb)
* [Expressions.ipynb](https://github.com/edaaydinea/IBMAppliedDataScience/blob/main/L1/Week1/Expressions.ipynb)
**Week2:Python Data Structures**
* **Notebooks:**
* [Tuples.ipynb](https://github.com/edaaydinea/IBMAppliedDataScience/blob/main/L1/Week2/PY0101EN-2-1-Tuples.ipynb)
* [Lists.ipynb](https://github.com/edaaydinea/IBMAppliedDataScience/blob/main/L1/Week2/PY0101EN-2-2-Lists.ipynb)
* [Sets.ipynb](https://github.com/edaaydinea/IBMAppliedDataScience/blob/main/L1/Week2/PY0101EN-2-3-Sets.ipynb)
* [Dictionaries.ipynb](https://github.com/edaaydinea/IBMAppliedDataScience/blob/main/L1/Week2/PY0101EN-2-4-Dictionaries.ipynb)
**Week3: Python Programming Fundamentals**
* **Notebooks:**
* [Conditions.ipynb](L1/Week3/PY0101EN-3-1-Conditions.ipynbWeek3/PY0101EN-3-1-Conditions.ipynb)
* [Loops.ipynb](L1/Week3/PY0101EN-3-2-Loops.ipynb)
* [Functions.ipynb](L1/Week3/PY0101EN-3-3-Functions.ipynb)
* [Exceptions.ipynb](L1/Week3/3-1.2ExcecptionHandling.ipynb)
* [Objects and Classes.ipynb](L1/Week3/PY0101EN-3-4-Classes.ipynb)
* [Scenario: Text Analysis](L1/Week3/PY0101EN-3-5-Practice_lab-20230526-1685059200.jupyterlite.ipynb)
**Week4: Working with Data in Python**
* **Notebooks:**
* [Reading Files.ipynb](L1/Week4/PY0101EN-4-1-ReadFile.ipynb)
* [Writing Files.ipynb](L1/Week4/PY0101EN-4-2-WriteFile.ipynb)
* [Selecting Data in a DataFrame.ipynb](L1/Week4/Pandas_Practice.ipynb)
* [Loading Data with Pandas.ipynb](L1/Week4/PY0101EN-4-3-LoadData.ipynb)
* [One Dimensional Numpy.ipynb](L1/Week4/PY0101EN-5-1-Numpy1D.ipynb)
* [Two Dimensional Numpy.ipynb](L1/Week4/PY0101EN-5-2-Numpy2D.ipynb)
**Week5: APIs and Data Collection**
* **Notebooks**:
* [Hands-On Lab: Introduction to API](L1/Week5/PY0101EN-5.1_Intro_API.ipynb)
* [Practice Project: GDP Data extraction and processing](L1/Week5/practice_project.ipynb)
* [HTTP and Requests](L1/Week5/PY0101EN-5.3_Requests_HTTP.ipynb)
* [Hands-on Lab: API Examples](L1/Week5/PY0101EN-5.2_API_2.v2.ipynb)
* [Web Scraping Lab](L1/Week5/labs_module%201_Web%20Scraping_Web-Scraping-Review.ipynb)
* [Hands-on Lab: Working with different file formats](L1/Week5/PY0101EN-5%204_WorkingWithDifferent.ipynb)
## Certificates
* Course 1: Python for Data Science, AI & Development
* Course 2: Python Project for Data Science
* Course 3: Data Analysis with Python
* Course 4: Data Visualization with Python
* Course 5: Applied Data Science Capstone