A/B Testing course by Skoltech Each of us regularly makes decisions. The optimal solution is often not obvious, and the cost of error is high. A/B tests are the most accurate way to choose the best option. A/B experiments are used to test the effectiveness of new drugs and are also widely used in business. Companies that use A/B experiments make more accurate decisions, allowing them to stay ahead of the competition. Mathematical statistics is the foundation of A/B tests. It provides mathematically sound criteria for testing hypotheses. This allows us to be confident in the accuracy of our results. Upon completion of this course, you'll be able to design experiments and evaluate them using A/B testing techniques, including advanced ones such as variance reduction and ratio metric analysis. If you're a manager, you'll learn the full A/B testing pipeline, its key steps, and the typical mistakes people make when conducting A/B tests. Table Of Contents Week 1. A/B Tests. Introduction Week 2. Statistics Basics. Parametric Estimation. Bootstrapping Week 3. Statistics Basics. Hypothesis Testing Week 4. A/B Tests. Basic Level Week 5. A/B Tests. Increasing Sensitivity. Review of Modern Methods Link: Course Navigational hashtags: #armknowledgesharing #armcourses General hashtags: #statistics #ab #abtesting @data_science_weekly