Python from scratch
by University of Waterloo

0. Introduction
1. First steps
2. Built-in functions
3. Storing and using information
4. Creating functions
5. Booleans
6. Branching
7. Building better programs
8. Iteration using while
9. Storing elements in a sequence
10. Iteration using for
11. Bundling information into objects
12. Structuring data
13. Recursion

https://open.cs.uwaterloo.ca/python-from-scratch/

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If I were to learn Python for Data Analysis again I'd focus on:

- Python Programming fundamentals.

- Pandas, Numpy, and Matplotlib for data handling/visualisation.

- Seaborn for enhanced visualisation.

- Build projects with data from Kaggle/Google Datasets.

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