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Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street Paperback – Aug. 16 2021

by Nick Singh (Author), Kevin Huo (Author)

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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 interviews
Questions cover the most frequently-tested topics in data interviews: Probability, Statistics, Machine Learning, SQL & 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
Learn 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, & Accenture

Praise 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

"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

“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.

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.

ISBN-10

0578973839
ISBN-13

978-0578973838
Publication date

Aug. 16 2021
Language

English
Dimensions

17.78 x 1.73 x 25.4 cm
Print length

301 pages
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Product details

Publisher ‏ : ‎ Ace the Data Science Interview (Aug. 16 2021)
Language ‏ : ‎ English
Paperback ‏ : ‎ 301 pages
ISBN-10 ‏ : ‎ 0578973839
ISBN-13 ‏ : ‎ 978-0578973838
Item weight ‏ : ‎ 581 g
Dimensions ‏ : ‎ 17.78 x 1.73 x 25.4 cm

Best Sellers Rank: #38,409 in Books (See Top 100 in Books)
- #2 in Beginning & Introductory Databases
- #17 in Database Storage & Design Textbooks
- #18 in Computer Science Modelling & Simulation

Customer Reviews:
693 ratings

About the authors

Follow authors to get new release updates, plus improved recommendations.

Kevin Huo
Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.
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. On the side, he’s helped hundreds of people land data
jobs at companies including Apple, Lyft, and Citadel.
See more on the author's page
Nick Singh
Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.
Nick Singh started his career as a Software Engineer on Facebook's Growth Team, and most recently, worked at SafeGraph, a geospatial analytics startup. He currently writes career advice on LinkedIn to his audience of 120,000+ followers, and runs the SQL Interview platform DataLemur.com . He holds a degree in Systems Engineering with a minor in Computer Science from the University of Virginia. In college, he interned at Microsoft, and on the Data Infrastructure team at Google's Nest Labs. His career advice has been read by over 10 million people on LinkedIn. For fun, he likes to DJ, dance, and stan Drake.
See more on the author's page

Customer reviews

4.5 out of 5

693 global ratings

5 star		75%
4 star		12%
3 star		6%
2 star		2%
1 star		5%

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Top reviews from Canada

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Oliver Y

Great book and summary for interview preparation

Reviewed in Canada 🇨🇦 on December 27, 2022

Verified Purchase

It covers all the essential topics with a brief summary of the key concepts and a collection of typical questions that we can work on with suggested solutions provided. Surely it cannot cover all the details of every concept due to the length of the book, but it provides the framework indicating the directions where we can fill in the knowledge gap ourselves, instead of spending more efforts figuring out what we are missing. Very helpful for preparing for interviews!

One person found this helpful

Helpful

Zhe

A very comprehensive yet bit challenging (personal view) for data scientist role interview

Reviewed in Canada 🇨🇦 on May 6, 2022

Verified Purchase

I bought this book actually for the data analyst interview. The SQL& DB design and case study as well as the A/B testing part work the best for me. I think it is not only for the interview purpose but a perfect study guide for anyone who is interested in being in a serious data role but didn't know where and what to start and keep going forward.
It is definitely worth every penny. Highly recommend!

One person found this helpful

Helpful

J Wang

Data Science

Reviewed in Canada 🇨🇦 on August 17, 2022

Verified Purchase

I'm an old-school self-learner, so adding with Leetcode, Coursera, and Udemy, I'd always seeking to learn more DS domain knowledge from a book, I'm so glad my friend recommend this book to me. I was suprised how could the authors cover so many aspects in one single book.

Reviewed in Canada 🇨🇦 on October 21, 2022

Verified Purchase

Gives you consolidat d advice on how to prep for data science interviews.

Helpful

stern semasuka

This is the only book you will ever need if you want to get a job in DS

Reviewed in Canada 🇨🇦 on June 15, 2022

Verified Purchase

I bought this book because a friend suggested that I should get it and oh boy I am glad I listen to him. The book covers all the main concepts of DS. I got an offer when I was at Chap 6. I highly recommend this book to anyone interested in DS even if they are not preparing for an interview.

Helpful

Ashish Tripathi

Amazing book, cover all core concepts

Reviewed in Canada 🇨🇦 on May 19, 2022

Verified Purchase

I liked this book a lot, it gives a great opportunity to revise all the core concepts before the interview. A few concepts I get to know from this book for the first time. This helped me not only in my interview but also in my day-to-day work.

Helpful

Saku

Bible for Data science interviews!

Reviewed in Canada 🇨🇦 on May 27, 2022

Verified Purchase

This book is highly recommended for data scientist roles. It covers concepts and tasks which can be asked in DS interviews. I wasnt really familiar with data structures and algorithms in great details but this book led me down that road and I didnt regret it.

Helpful

OT

Detailed instruction on data science interview

Reviewed in Canada 🇨🇦 on January 19, 2022

Verified Purchase

I am a senior data scientist at one of the top financial institutions and I am currently getting interviews from tech firms but I found myself is missing the product sense and framework when got asked these questions. This book systematically taught me that and have some practice questions for me to warm up and avoid me from learning it from the hard way. I would highly recommend this book.

2 people found this helpful

Helpful

Top reviews from other countries

Amazon Customer

Content mostly geared at fresh grads

Reviewed in the United Kingdom 🇬🇧 on May 31, 2022

Verified Purchase

Dear authors,
This would be a great book, were I a fresh grad. As a 30+ year old working parent with years of DS experience, most of the advice does not apply to me.
Nowhere in the description does not say this book is geared for fresh grads. Please add this important piece of information to the description.

Sabrina

Opportunity is for the one prepare, this book will speed up the process of your preparation.

Reviewed in the United Kingdom 🇬🇧 on September 10, 2021

Verified Purchase

I read a comment in Linkedin recommendation about this book, get it within 48 hours.
In 290 pages, everything about interview tips, knowledge in statistics, database, machine learning you need to know enough for an interview, love the interview questions with model answers for easy, medium and hard. Instead of studying with an ocean amount of materials, it is key and narrow down the scope.

LRS123

Great refresher crash course before interview

Reviewed in the United Kingdom 🇬🇧 on January 29, 2022

Verified Purchase

I used this book to prepare for a recent data scientist interview. It was very comprehensive and covers many topics including chapters on preparing CV / resume, good portfolio projects, behavioural interviews, probability, statistics, machine learning, coding / data structures and algorithms, SQL and database design, product sense and case studies. Thing I liked the most was the breadth of the book. Only negative I can think of is I would have liked to have seen to prepare is a real worked example of a take-home challenge in the book, although acknowledge where the authors state they were difficult to incorporate into the book due to differing from company to company, being long and needing a real dataset.

Kenneth Z

Too many errors

Reviewed in the United Kingdom 🇬🇧 on August 5, 2022

Verified Purchase

I applaud the authors’ effort in writing this very useful guide to data science interviews, but I must echo the criticism of other reviewers - I spotted a coding error within 10 minutes of reading it. Readers buy the book because they are not yet experts in the topics, and if misled the errors can just make them miss out on their dream jobs. If the authors are serious about helping job candidates, they really need to publish an errata on their website asap.

Usama Azhar

Must have for a data enthusiast

Reviewed in the United Kingdom 🇬🇧 on October 25, 2022

Verified Purchase

This book covers all the aspects about data science and if you just started your journey in data science and feel like I'm learning new things everyday and still confused how this all comes together then look no further this is the ultimate guide.

I got this at the end of my Masters in Data Science and this for me is kind of a summary of what I learnt during the masters and also how this can be used in real business settings.

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Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street Paperback – Aug. 16 2021

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About the authors

Kevin Huo

Nick Singh

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