Pre-course: mathematical foundations
Descriptive statistics (.presentation) Probability theory
Statistical inference
Non parametric tests
Linear models
Generalized linear models
Principal Component Analysis
Clustering
Supervised learning
Feature engineering & selection
Random Forest
Course materials