Week 5 | Module 3B | Experimentation in Data Science (A/B Testing and Statistical Analyses) II

Instructor: Roland Doku, Ph.D.

Part II will build on concepts discuss in Part I. We will go through examples of how to conduct an A/B test on a real-world use case, covering all necessary processes from designing the experiment to interpreting the results.  Discuss situations when A/B testing doesn’t work. By the end of the session, participants will be able to design and analyze A/B tests, ensuring reliable conclusions from their experiments to support data driven decision making.