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Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups & Wall Street
$45.00 Original price was: $45.00.$27.00Current price is: $27.00.
Binding: Paperback
Language: English
Reader’s Age: Adults 18+ | College Students | Career Switchers
Ships Within: 5–10 Business Days
Author: Nick Singh & Kevin Hao
Unlock your dream data science role at Google, Meta, Amazon, or any top tech company. This book gives you 201 actual interview questions covering SQL, Python, machine learning, statistics, product sense, and case studies—plus detailed solutions that teach you how to think like a data scientist.
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Master Data Science Interviews with 201 Real Questions from FAANG, Tech Startups, and Wall Street
About the Book
Landing a data science role at a top tech company requires more than technical skills—it demands interview readiness. Ace the Data Science Interview is your complete preparation guide, packed with 201 real interview questions asked by FAANG companies, unicorn startups, and leading financial institutions. Written by Nick Singh and Kevin Hao, both experienced data professionals who’ve conducted hundreds of interviews, this book walks you through SQL queries, machine learning concepts, probability puzzles, product metrics, and behavioral questions. You’ll learn not just what to answer, but how to approach problems the way hiring managers expect.
From the Back Cover
“The only interview prep book written by people who’ve actually sat on both sides of the table at Google, Facebook, and top startups.”
About the Author
Nick Singh is a data scientist and former lead analytics manager who has interviewed hundreds of candidates at top tech firms. Kevin Hao brings years of experience in machine learning and data engineering at leading Silicon Valley companies. Together, they’ve distilled their insider knowledge into a practical, no-nonsense guide that cuts through the noise and focuses on what actually gets asked—and what actually gets you hired.
Who Is This Book For?
This book is perfect for aspiring data scientists, data analysts transitioning into senior roles, and software engineers pivoting into data science. Whether you’re a recent graduate preparing for your first technical interview or an experienced professional aiming for FAANG-level positions, this guide meets you where you are. It’s especially valuable for self-learners who want structured, real-world preparation without expensive bootcamps or courses.
Frequently Asked Questions (FAQs)
Q: What types of data science interview questions are covered in this book?
The book covers SQL queries, Python coding challenges, machine learning algorithms, probability and statistics problems, product metrics case studies, and A/B testing scenarios—all actual questions from real interviews at top companies.
Q: Is this book suitable for beginners in data science?
Yes, if you have basic programming knowledge and understanding of statistics. The book explains concepts clearly and builds from foundational to advanced topics, making it accessible for career switchers and recent graduates.
Q: Does Ace the Data Science Interview include solutions and explanations?
Absolutely. Every question comes with detailed solutions, multiple approaches where applicable, and insights into what interviewers look for. You’ll understand not just the answer, but the thinking process behind it.
Q: Which companies’ interview questions are featured in this book?
The questions come from interviews at Google, Facebook (Meta), Amazon, Microsoft, Netflix, Airbnb, Uber, LinkedIn, financial firms like Goldman Sachs and JPMorgan, and high-growth tech startups.
Q: How should I use this book to prepare for data science interviews?
Start by assessing your weak areas, then work through relevant chapters systematically. Practice questions actively (write out solutions), review explanations thoroughly, and simulate timed interview conditions as you progress through harder problems.
| Weight | 450 g |
|---|---|
| Dimensions | 23 × 15 × 2 cm |
You'll gain mastery over SQL fundamentals and advanced queries, probability and statistics questions that trip up most candidates, machine learning theory and practical applications, product sense and business case frameworks, and A/B testing scenarios that reveal how data drives decisions. Each question includes detailed explanations, multiple solution approaches, and insider tips on what interviewers are really evaluating. By the end, you'll walk into any data science interview with confidence and clarity.

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