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.
