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Statistics for Data Science 20/21

This course serves as an introduction to foundational aspects of statistical data analysis. For a previous iteration of the course, see Statistics for Data Science 2019/20.

Probability theory  
Introduction Video
Probability spaces Video
Random variables Video
Joint distributions Video
Transformations Video
Expectation and covariance Video
Inequalities and limits Video
Frequentist inference  
Maximum likelihood estimation Video
Finite-sample estimator properties Video
Asymptotic estimator properties Video
Confidence intervals Video
Hypothesis testing Video
Bayesian inference  
Conjugate inference Video
Numerical methods Video
Variational inference Video