- To test hypotheses with complex metrics for which standard tests do not work
- To develop optimal designs for online and offline experiments
- To apply modern methods for increasing the sensitivity of A/B tests
- To conduct multiple experiments in parallel
- Basics of Statistics
- Hypothesis testing
- Experimental design
- Design testing
- Confidence intervals
- Improving test sensitivity
- Metric selection
- Cuped
- Stratification
- Multiple testing
- Traffic splitting
- Analysis of ratio metrics
- Complete A/B testing pipeline