- Name of the course : Data Analysis with Python
- Year : 2023-24

This repository contains the exercise tasks for the course "Data Analysis with Python 2023-24 by mooc". The exercises (including the solution code) are organzied chapterwise and each chapter has its own folder.

- Install the latest version of Python from https://www.python.org/downloads/
- Install a suitable IDE for Python. For example, PyCharm Community Edition (https://www.jetbrains.com/pycharm/download/#section=windows) or Visual Studio Code (https://code.visualstudio.com/download) (optional-you can work with any text editor)

- Clone the repository to your local machine
- Open the project in your IDE
- Open the chapter folder you want to work on
- Open the exercise file (e.g. exercise_1.py)

- Fork the repository
- Create a new branch (git checkout -b new-branch)
- Make changes and add them (git add .)
- Commit your changes (git commit -m "commit message")
- Push to the branch (git push origin new-branch)
- Create a pull request

- Chapter 1: Python
- Chapter 2: More Python and Numpy
- Chapter 3: More Numpy
- Chapter 4: More Pandas
- Chapter 5: Still More Pandas and Machine Learning
- Chapter 6: Machine Learning Types
- Chapter 7: Project Work

- Python Documentation: https://docs.python.org/3/
- Numpy Documentation: https://numpy.org/doc/
- Pandas Documentation: https://pandas.pydata.org/docs/
- Link to the course: https://courses.mooc.fi/org/uh-cs/courses/data-analysis-with-python-2023-2024