Book Title: Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street
Author: Nick Singh and Kevin Huo
Genre: Non-fiction
GoodReads Rating: 4.5/5
Best Selling List: #1 Best Seller in Data Mining
Introduction:
Ace the Data Science Interview is a comprehensive guide to help you prepare for data science, data analysis, and machine learning interviews. Authored by two ex-Facebook employees, Nick Singh and Kevin Huo, this book is a must-read for anyone looking to land their dream job at FAANG, tech startups, or Wall Street.
Summary:
The book contains 201 real data science interview questions asked by Facebook, Google, Amazon, Netflix, Two Sigma, Citadel, and more, with detailed step-by-step solutions.
It covers the most frequently tested topics in data interviews, including probability, statistics, machine learning, SQL and database design, coding (Python), product analytics, and A/B testing. Each chapter has a brief crash course on the most important concepts and formulas to review.
The book also teaches you how to solve open-ended case study questions that combine product-sense, business intuition, and statistical modeling skills, and practice with case interviews from Airbnb, Instagram, and Accenture.
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Key Takeaways:
- The book provides a structured approach to prepare for data science, data analyst, and machine learning interviews.
- It contains 201 real data science interview questions asked by top tech companies and Wall Street firms, along with their full solutions.
- The book covers the most frequently tested topics in data interviews, including probability, statistics, machine learning, SQL and database design, coding (Python), product analytics, and A/B testing.
- Each chapter has a brief crash course on the most important concepts and formulas to review.
- The book teaches you how to solve open-ended case study questions that combine product-sense, business intuition, and statistical modeling skills, and practice with case interviews from Airbnb, Instagram, and Accenture.
Strengths:
- The book is written by two ex-Facebook employees who have extensive experience in data science and machine learning.
- It provides a comprehensive guide to prepare for data science, data analyst, and machine learning interviews.
- The book contains 201 real data science interview questions asked by top tech companies and Wall Street firms, along with their full solutions.
- It covers the most frequently tested topics in data interviews, including probability, statistics, machine learning, SQL and database design, coding (Python), product analytics, and A/B testing.
- Each chapter has a brief crash course on the most important concepts and formulas to review.
- The book teaches you how to solve open-ended case study questions that combine product-sense, business intuition, and statistical modeling skills, and practice with case interviews from Airbnb, Instagram, and Accenture.
Weaknesses:
- The book is focused on data science, data analyst, and machine learning interviews and may not be suitable for other types of interviews.
- The book is not a substitute for hands-on experience and practical knowledge.
Conclusion:
Ace the Data Science Interview is an invaluable resource for anyone looking to prepare for data science, data analyst, and machine learning interviews.
It provides a comprehensive guide to prepare for interviews, covering the most frequently tested topics in data interviews, including probability, statistics, machine learning, SQL and database design, coding (Python), product analytics, and A/B testing.
The book also teaches you how to solve open-ended case study questions that combine product-sense, business intuition, and statistical modeling skills, and practice with case interviews from Airbnb, Instagram, and Accenture.
Overall, this book is a must-read for anyone looking to land their dream job at FAANG, tech startups, or Wall Street.
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