20 chapters covering every Data Science interview round at FAANG. ML Theory & Applied ML | Statistics & Probability | Python & SQL | A/B Testing & Experimentation | Case Studies & Product Analytics 100+ worked problems with full reasoning. The thought process interviewers look for. Includes the TRAIN framework for ML system design and METRIC for product analytics. Built by a Silicon Valley Product Leader. 200+ interviews at Amazon and Microsoft. $9.99 on Kindle
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Hunter
📌
Hey PH! After interviewing 200+ candidates at Amazon and Microsoft, I noticed DS candidates kept hitting the same walls � not technical gaps, but structural ones.
They would ace the ML theory but freeze on the product case. Or nail the SQL but struggle to explain their A/B test design to a non-technical stakeholder.
So I built a system: 20 chapters, 100+ worked problems, covering ML, stats, SQL, experimentation, case studies, and behavioral rounds. Every solution shows the full reasoning process, not just the answer.
Available on Kindle (.99) and Gumroad (instant HTML download).
Ask me anything about DS interviews!