Learning Python for Data Science

This is my project for learning Python for data science. I plan on using a mix of Jupyter Notebook and Spyder. As I'm already familiar with RStudio, Spyder was the closest thing that mirrored that type of layout and functionality.

Outline

I plan on building a self-guided course from a few other resources:

• http://swcarpentry.github.io/python-novice-inflammation/
• https://www.analyticsvidhya.com/blog/2016/01/complete-tutorial-learn-data-science-python-scratch-2/
• https://github.com/amrrs/For-Data-Science-Beginners
• https://www.analyticsvidhya.com/blog/2019/03/top-5-data-science-github-repositories-reddit-discussions-february-2019/
• https://jakevdp.github.io/PythonDataScienceHandbook/
• https://github.com/jakevdp/PythonDataScienceHandbook
• https://github.com/macloo/python-beginners
• https://www.youtube.com/watch?v=mNdbcHECGN4
• https://github.com/aditya1702/Machine-Learning-and-Data-Science
• https://github.com/wesm/pydata-book

Part 1 - The Basics

• Data Types
  • Lists
  • Strings
  • Tuples
  • Dicts
• Custom Functions
• For Loops

Part 2 - Working with Data

• Loading Data
  • CSV
  • JSON
  • SQL
• Pandas
  • Join
  • Merge
  • Union
• NumPy
• Visualization
  • Matplotlib

Part 3

• Machine Learning
• Algorithms