Mastering A/B Testing: From Design to Analysis

Abstract: Embark on a journey into the realm of experimentation. Learn how to run scientific experiments, synthesize insights from data and deliver impactful recommendations. There is no doubt that experimentation, or A/B testing, has become a driving force of innovation in the online world. In this workshop, you will advance your understanding of both theoretical and practical issues in A/B testing. You will learn about cutting-edge research, novel approaches to A/B testing, and will be able to apply them. Through the workshop, you will master new ways to design and analyze experiments and maximize your data-driven impact.

You will learn to:
* Build the foundation of experiment: design of experiment
* Ensure the trustworthiness of A/B report;
* Ramp experiment while balancing speed, quality and risk
* Amplify insights with variance reduction
* and more...

Bio: Iavor Bojinov received his Ph.D. in Statistics from Harvard University in 2018. His research advances both theory and methodology in social science applications, with a particular focus on design and analysis of experiments in complex settings, observational studies, and missing data. He has recently published articles in the Journal of the American Statistical Association, Biometrika, and Sociological Methods & Research.

Open Data Science Conference