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 |