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