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Ace the Data Science Interview: 201 Real Interview Questions Asked by FAANG, Tech Startups, & Wall Street" by Kevin Huo and Nick Singh is a comprehensive preparation guide specifically tailored for aspiring data scientists targeting high-profile companies like Facebook, Google, Amazon, Microsoft, Netflix, Stripe, Uber, Two Sigma, and Citadel.
Key points about the book:
It contains 201 real interview questions collected from actual data science interviews at top tech and finance firms. These cover a broad spectrum of essential topics including probability, statistics, machine learning, SQL and database design, Python coding, product sense, and behavioral interview preparation.
The book organizes questions by difficulty, from easy to hard, making it valuable for beginners up to advanced practitioners. Each question comes with detailed, fully worked solutions to guide learning.
It provides practical career advice on resume crafting, portfolio projects, cold emailing, and behavioral interviewing, helping readers navigate the entire data science job hunt process.
The authors, Kevin Huo and Nick Singh, bring strong industry experience from roles at Facebook, hedge funds, SafeGraph, and tech startups, as well as expertise in interviewing and coaching data science candidates.
The book is complemented by additional online resources including video lessons, downloadable templates, and a community for career tips and practice.
It aims to prepare candidates to confidently tackle both technical and product design questions and to excel in behavioral interviews for data science roles.
Overall, this book is widely regarded as an essential and practical resource for anyone preparing to break into competitive data science, machine learning, or analytics positions at leading technology companies and Wall Street firms
Overall, this book is widely regarded as an essential and practical resource for anyone preparing to break into competitive data science, machine learning, or analytics positions at leading technology companies and Wall Street firms.
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