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 |