COUNTERFEIT WARNING: Do NOT buy Used books - there is a 90% chance the 3rd party is selling pirated books filled with typos, missing SQL questions, and bad print quality. Only buy NEW! 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 “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.

Breaking into the world of data science can be a daunting task, especially when faced with the rigorous interview processes of top tech companies, innovative startups, and even the financial sphere of Wall Street. As competition heightens, both aspiring and seasoned data scientists must equip themselves with the knowledge and strategies required to make a lasting impression. This book serves as your ultimate guide to acing these challenging interviews by presenting a comprehensive collection of real questions asked by some of the most esteemed organizations in the industry.

Gain crucial insights into the interview process from FAANG and top tech companies. Understand complex data science problems with simplified explanations and answers. Unlock the potential of targeted preparation strategies to enhance your confidence.

In Ace the Data Science Interview the authors compile an extensive list of 201 real interview questions received from leading tech giants startups and Wall Street firms. Through careful selection and expert analysis this book provides detailed insight into the types of questions commonly encountered and how they can be effectively tackled. The book is structured to cover various aspects of data science including algorithmic thinking statistical analysis machine learning and problem-solving.

Each question is paired with comprehensive explanations and insightful answers ensuring you approach your next interview with confidence and clarity.

By engaging with this book candidates will discover how to deconstruct complex questions fostering a deeper understanding of essential data science concepts The authors emphasize the importance of honing problem-solving skills and offer strategies to develop these skills enhancing candidates' capacity to navigate challenging scenarios Additionally the book provides valuable tips on tailoring responses to meet the expectations of diverse companies from innovative startups to established corporations.