A/B Testing for Data Science Interviews: From Framing to Final Decision
This course is designed to help Data Scientists systematically master A/B testing interview questions—from high-level product reasoning to rigorous statistical analysis. A/B testing questions are among the most common and most discriminating interview questions for product, growth, marketplace, and ML-adjacent Data Science roles. Interviewers are not only evaluating statistical knowledge, but also: Whether you can frame ambiguous problems Whether you understand causality and experimental design Whether you can reason about bias, dilution, power, and trade-offs Whether you can translate results into clear product decisions This course teaches a single, reusable mental framework that allows you to answer any A/B testing question with structure, confidence, and depth. What This Course Emphasizes Interview-ready answer structures Both math/statistics and product reasoning Real-world experimentation pitfalls interviewers care about Common follow-up questions and how to handle them Concrete examples from real interview questions Clear verbal phrasing you can use in live interviews
Intermediate
