Ace the Data Science Interview - 201 Real Questions for FAANG Jobs

In this review the bottom line is clear: Ace the Data Science Interview is a focused, practical study guide for anyone preparing for technical and behavioral data science interviews. Authored by two ex-Facebook employees, the book compiles 201 real interview questions with step-by-step solutions and delivers targeted preparation for FAANG, startup, and Wall Street recruiting processes. The review finds it strongest as a hands-on problem set and roadmap for interview structure rather than a gentle introduction to data science fundamentals.

Key Features

• Real interview questions: Contains 201 questions reportedly asked by major tech and finance firms, giving readers direct exposure to the type of problems interviewers use.
• Step-by-step solutions: Each problem includes detailed explanations so readers can follow reasoning and learn how to structure answers under pressure.
• Difficulty tiers: Questions are separated into easy, medium, and hard levels, helping readers progressively build skills and identify weak areas.
• Career guidance: The book offers practical advice on resumes, portfolio projects, and cold-email networking to help candidates present themselves effectively.
• Behavioral prep: Guidance on telling your story and handling behavioral interviews complements the technical content to prepare for full interview loops.

Who It's For

The book is best for candidates who already have a technical foundation in statistics, SQL, or machine learning and need targeted practice with real interview-style problems; it is especially useful for people aiming at FAANG and finance roles who want to rehearse clear, structured answers. It is also a strong pick for data analysts and junior data scientists looking to elevate their interview technique with concrete examples and solution walkthroughs.

Those seeking a beginner textbook that teaches core concepts from scratch or a comprehensive classroom-style course in machine learning fundamentals should look elsewhere; this book emphasizes applied interview problems and practical tips rather than extended theory or entry-level instruction.

Pros & Cons

Pros

• Comprehensive coverage of real interview questions offers practical, high-value practice for interviews.
• Clear, step-by-step solutions make complex problems accessible and teach answer structure.
• Useful career and portfolio advice bridges the gap between technical prep and hiring outcomes.

Cons

• Not intended as a beginner textbook; readers without a technical base may find some solutions terse.

Specifications

Title	Ace the Data Science Interview: 201 Real Interview Questions
Authors	Nick Singh, Kevin Huo
Page count	301 pages
Topics covered	Data Science interviews, SQL, machine learning, behavioral prep
Audience	Data scientists, data analysts, machine learning candidates
Special note	Only buy new to avoid counterfeit issues and missing content

Our Verdict

Ace the Data Science Interview is a high-value, practical resource for candidates who already know the basics and need targeted interview practice. Its collection of real questions and explicit solution walkthroughs make it a time-efficient tool for landing interviews at top tech and finance firms, and the added career advice improves overall readiness and presentation.

Frequently Asked Questions

Is this book suitable for beginners?
It is best for readers with some prior technical background; beginners may find some solutions assume existing knowledge.

Are the questions real?
The book presents 201 questions that the authors attribute to major tech and finance interviews, with detailed solutions for practice.

Should I buy used?
The publisher warns that used copies may be counterfeit or missing content; purchase a new copy to ensure complete, high-quality print.