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0-to-1 DS Interview Playbook

Master FAANG DS interviews: ML, SQL, stats, A/B testing

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.99 on Kindle and Gumroad.

Top comment

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!

About 0-to-1 DS Interview Playbook on Product Hunt

Master FAANG DS interviews: ML, SQL, stats, A/B testing

0-to-1 DS Interview Playbook was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #105 on the daily leaderboard. 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.99 on Kindle and Gumroad.

On the analytics side, 0-to-1 DS Interview Playbook competes within Productivity, Developer Tools and Books — topics that collectively have 1.3M followers on Product Hunt. The dashboard above tracks how 0-to-1 DS Interview Playbook performed against the three products that launched closest to it on the same day.

Who hunted 0-to-1 DS Interview Playbook?

0-to-1 DS Interview Playbook was hunted by Jason Saw. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of 0-to-1 DS Interview Playbook including community comment highlights and product details, visit the product overview.