Does this cover machine learning deeply?
It covers ML at the level tested in DS interviews — model selection, evaluation, and business application — not deep ML theory. For ML-heavy roles, pair with the MLE Playbook.
0→1 Interview Playbook · Valenx Press
Data Scientist
A Practical System for FAANG Data Science Interviews
9 chapters · 230 pages · tech
Complete data science interview system covering statistics, ML concepts, SQL, A/B testing, case studies, experimentation design, and metrics frameworks.
Get on AmazonWho Is This For
- Data scientists preparing for FAANG interviews
- Analysts looking to transition to DS roles
- PhD graduates targeting industry DS positions
- DS professionals aiming for senior roles
What You Will Learn
- 1. A/B testing complete framework (hypothesis to analysis)
- 2. Metrics design from business objectives
- 3. ML case study 5-step structure
- 4. Bayesian intuition for probability questions
- 5. SQL optimization for interview performance
Sample Topics Covered
Design metrics for Netflix recommendations
How to experiment on Uber surge pricing
Find anomalies in 1M data points
Frequently Asked Questions
Is SQL covered?
Yes. Multiple chapters cover SQL patterns from basic joins through window functions and query optimization, matching what FAANG DS interviews test.