Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street
$45.00
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Authored by two Ex-Facebook employees, Ace the Data Science Interview is the best way to prepare for Data Science, Data Analyst, and Machine Learning interviews, so that you can land your dream job at FAANG, tech startups, or Wall Street.
What’s inside this 301 page book?201 real Data Science interview questions asked by Facebook, Google, Amazon, Netflix, Two Sigma, Citadel and more — with detailed step-by-step solutions!Learn how to break into Data Science, with tips on crafting your resume, creating kick-ass portfolio projects, sending networking cold emails, and better telling your story during behavioral interviewsQuestions cover the most frequently-tested topics in data interviews: Probability, Statistics, Machine Learning, SQL & Database Design, Coding (Python), Product Analytics, and A/B TestingEach chapter has a brief crash-course on the most important concepts and formulas to reviewLearn 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, & AccenturePraise for Ace the Data Science Interview:
“The advice in this book directly helped me land my dream job”
— Advitya Gemawat, ML Engineer, Microsoft
“An invaluable resource for the Data Science & ML community”
— Aishwarya Srinivasan, Senior Data Scientist, Google
“Graduate students should read this book for a structured approach to prep for their next data Science interview”
— Ali Gowani, Faculty at Northwestern University (MS in Data Science).
“The authors explain exactly what hiring managers look for — a must read for any data job seeker”
— Michelle Scarbrough, Former Data Analytics Manager, F500 Co.
“Super helpful career advice on breaking into data & landing your first job in the field”
— Prithika Hariharan, President of Waterloo Data Science Club; Data Science Intern, Wish
“FINALLY! Cracking the Coding Interview but for Data Science & ML!”
— Jack Morris, AI Resident, Google
“Solving the 201 interview questions is helpful for people in ALL industries, not just tech!”
— Lars Hulstaert, Senior Data Scientist, Johnson & Johnson
About Kevin Huo:
Kevin Huo is currently a Data Scientist at a Hedge Fund, and previously was a Data Scientist at Facebook working on Facebook Groups. He holds a degree in Computer Science from the University of Pennsylvania and a degree in Business from Wharton. In college he interned at Facebook, Bloomberg, and on Wall Street.
About Nick Singh:
Nick Singh previously worked on Facebook’s Growth Team and at SafeGraph, a geospatial analytics startup. Currently, he runs SQL interview platform DataLemur.com and shares career tips on LinkedIn to his 120,000+ followers. Nick holds a degree in System Engineering with a minor in Computer Science from the University of Virginia. In college, he interned at Microsoft and at Google’s Nest Labs on the Data Infrastructure Team.
Publisher : Ace the Data Science Interview
Publication date : August 16, 2021
Language : English
Print length : 301 pages
ISBN-10 : 0578973839
ISBN-13 : 978-0578973838
Item Weight : 1.28 pounds
Dimensions : 7 x 0.68 x 10 inches
Best Sellers Rank: #40,729 in Books (See Top 100 in Books) #5 in Data Mining (Books) #5 in Data Modeling & Design (Books) #9 in Data Processing
Customer Reviews: 4.5 4.5 out of 5 stars (1,242) var dpAcrHasRegisteredArcLinkClickAction; P.when(‘A’, ‘ready’).execute(function(A) { if (dpAcrHasRegisteredArcLinkClickAction !== true) { dpAcrHasRegisteredArcLinkClickAction = true; A.declarative( ‘acrLink-click-metrics’, ‘click’, { “allowLinkDefault”: true }, function (event) { if (window.ue) { ue.count(“acrLinkClickCount”, (ue.count(“acrLinkClickCount”) || 0) + 1); } } ); } }); P.when(‘A’, ‘cf’).execute(function(A) { A.declarative(‘acrStarsLink-click-metrics’, ‘click’, { “allowLinkDefault” : true }, function(event){ if(window.ue) { ue.count(“acrStarsLinkWithPopoverClickCount”, (ue.count(“acrStarsLinkWithPopoverClickCount”) || 0) + 1); } }); });
12 reviews for Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street
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$45.00
Jamala –
Clear Framework
Great book for DS interviews, very clear framework and examples. Easy to follow and navigate through each topic
Pablo Solis –
Invaluable Resource for Data Science Interview Prep!
This book is a game-changer for anyone preparing for data science interviews. What I appreciate most is the abundant practical advice and the clearly delineated breakdown of topics and subtopics.In the past, I’ve struggled with interview preparation resources that just list thick, overwhelming textbooks, most of which aren’t even relevant to actual interviews. This book is the complete opposite. It provides such a clear roadmap, helping me understand exactly what to focus on and delve deeper into, and what I can confidently set aside. This focused approach is incredibly valuable and makes the preparation process so much more efficient and less daunting. Highly recommend!
Yihan Wang –
An Amazing Resource for the Data Science Job Search!
This book has been an absolute godsend and I don’t know what I would do without it. Searching for a DS job can be very confusing and there is a lot of information online and it’s hard to know what to trust. Luckily, this book breaks it down for you in an accessible and engaging way; the authors are incredibly knowledgeable. It covers the major steps involved from resume building, cold emailing, behavioral interviews, and technical interviews. I like that the book highlights what is most important in the job search process, so I can use my limited time to focus on those areas (for me, they are tailoring my resume for a recruiter and practicing SQL). I have not dug into all the technical questions from real companies but I’m glad those exist for me to practice with. Overall, I cannot recommend this book enough for anyone looking for a job in data and it is easily the best resource out there. Well worth the price and delivers tremendous ROI.
Shruti696 –
A good Resource for Data Science Interview Prep, But Not Perfect
As someone preparing for data science interviews, I found “Ace the Data Science Interview” to be a valuable resource overall. The book covers a wide range of topics that are crucial for anyone looking to break into the field or advance their career.The 201 real interview questions from top companies like Facebook, Google, and Amazon are definitely the highlight. It’s great to see actual questions being asked in the industry, and the step-by-step solutions provided are generally helpful. I particularly appreciated the chapters on Probability, Statistics, and Machine Learning, which gave me a good refresher on key concepts.The book’s structure is well-thought-out, with each chapter starting with a brief crash course on important concepts and formulas. This format made it easy to review topics quickly before diving into the practice questions.However, there are a few areas where the book could improve. Some of the solutions felt a bit rushed or oversimplified, and I occasionally found myself seeking additional explanations online.The case study questions and product analytics sections were interesting, but I felt they could have been more in-depth.Despite these minor drawbacks, I still found the book to be a valuable part of my interview preparation. It’s not a one-stop solution, but it’s definitely a strong addition to any aspiring data scientist’s study materials.
Krishna B. –
Great book for interview prep
This book is really great to brush up on the basics ofstatistics, ML and deep learning.The way questions and usecases are structured will help to prepare on how to approach the questions during inyerviews. This book also has the guidance on career advice and job hunt aspects. As the title says, This is NOT for someone who is trying to learn datascience.
Priyam Selugar –
Best AI/ML interview prep guide
I recently picked up **“Ace the Data Science Interview”** by Nick Singh and Kevin Huo, and it’s an absolute game-changer. The authors take you on a smooth journey from fundamental statistics all the way through core machine learning concepts, making sure your theory is rock-solid. What really sets this book apart are the 201 real-world ML problems and actual interview questions sourced from FAANG, tech startups, and Wall Street firms—each one feels like a genuine mock interview. Every chapter boosts both technical know-how and confidence, with clear explanations and practical tips you can apply immediately. This has become my go-to guide for interview prep, and I can’t imagine facing data science interviews without it.
Chen Kang –
Excellent Resource for Aspiring and Practicing Data Scientists
This book is a fantastic resource for anyone interested in data science, whether you’re just starting out or already working in the field. It provides a solid foundation in key concepts such as statistics, machine learning, and data visualization, with clear explanations and practical examples.What I especially appreciated was the balance between theory and application—each chapter includes real-world use cases and Python code that you can immediately try out. The author’s writing is accessible without oversimplifying, making even complex topics like model evaluation or deep learning understandable.If you’re looking to deepen your understanding of data science or prepare for technical interviews, this book is well worth the investment. Highly recommended!
OnionAbyss –
This is an excellent resource for anyone aiming to succeed in data science interviews. It offers a clear, concise guide filled with practical questions and answers across key topics like statistics, programming, and machine learning. The book is well-structured, providing vital interview tips and strategies that enhance both technical and communication skills. It’s a straightforward, practical tool that effectively prepares candidates for the competitive data science job market.
Amazon Customer –
This book is not only useful for data science interviews but also for product analytics/ ops interviews.Even if you’re not doing such interviews, I still recommend reading this as it gives invaluable advice on how you should measure success in companies.
Ömer Aynur –
Very useful to ace the interview with detailed real world examples
miloko89 –
This book has been a great resource to prepare for DS interviews. Each chapter is concise but has all the essential information. I also love all the exercises at the end of each chapter, it gives you a chance to practice with real-life examples. Highly recommend it if you are applying for jobs!
Luis Macias –
Great book that covers all topics related to data science! If you need just a quick refresh or if you want to know the basics this is the book!It covers from soft skills for the interview to technical stuff you need to know! It guides you trough the topics you need to know better, but make not mistake, with just one book you won’t gain all knowledge needed, it just points you to the right direction and the right topics for you to go deeper and it makes it in an extraordinary way!A book highly recomended if you’re starting or if you already have experience!