Learning Hub
Master your interview skills
Structured courses designed to help you prepare for technical interviews. Learn at your own pace with our comprehensive curriculum.
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
System Design Interview: From Fundamentals to Real-World Designs
Master system design interviews with a structured approach. Start with scaling fundamentals and estimation techniques, then work through progressively complex designs — from rate limiters and key-value stores to large-scale platforms like live streaming and collaborative editors.
ML System Design Interview: From Foundations to Production Systems
Master the ML system design interview — learn the structured framework top candidates use, then apply it to 11 real-world problems spanning visual search, recommendation engines, content moderation, ad prediction, and social matching systems.
Generative AI System Design
Master the art of designing, training, and deploying generative AI systems with a structured 6-step SCALED framework and real-world case studies.