- Intro to Python for data science (course 1)
- Intermediate Python for Data Science (course 2)
- Statistical Thinking in Python part 1 and 2 (courses 15 and 16) (kinda optional)
- Supervised Learning with scikit-learn (Course 18)
- Trying using what you learned in course 18 to Kaggle Titanic and Housing Prices challenges
- Deep Learning in Python (course 21)
- Trying using you learned in course 21 to Kaggle MNIST challenge
- Essence of calculus playlist on youtube https://www.youtube.com/watch?v=WUvTyaaNkzM&list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr
- Essence of linear algebra playlist on youtube https://www.youtube.com/watch?v=kjBOesZCoqc&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab