Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street

Description

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 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 companies like 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 cold networking emails, and 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 includes 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—featuring case interviews from Airbnb, Instagram, and 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 “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 worked at Facebook on the Facebook Groups team. He holds degrees in Computer Science from the University of Pennsylvania and Business from Wharton. During 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. He currently runs the SQL interview platform DataLemur.com and shares career tips with his 120,000+ LinkedIn followers. Nick holds a degree in Systems 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. Table of Contents Introduction Career Advice to Ace the Data Science Job Hunt Chapter 1 4 Resume Principles to Live By for Data Scientists Chapter 2 How to Make Kick-Ass Portfolio Projects Chapter 3 Cold Email Your Way to Your Dream Job in Data Chapter 4 Ace the Behavioral Interview Ace the Technical Data Science Interview Chapter 5 Probability Chapter 6 Statistics Chapter 7 Machine Learning Chapter 8 SQL & DB Design Chapter 9 Coding Chapter 10 Product Sense Chapter 11 Case Studies