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

What’s inside this 301 web page ebook?

• 201 actual Data Science interview questions requested by Facebook, Google, Amazon, Netflix, Stripe, Two Sigma, Citadel and extra — with detailed step-by-step options!
• Questions cowl the most frequently-tested subjects in information interviews: Probability, Statistics, Machine Learning, SQL & Database Design, Coding (Python), Product Analytics, and A/B Testing
• Each chapter has a quick crash-course on the most essential ideas and formulation to assessment
• Learn methods to clear up open-ended case research questions that mix product-sense, enterprise instinct, and statistical modelling expertise, and observe with case interviews from Airbnb, Instagram, & Accenture
• Learn methods to break into Data Science, with recommendations on crafting your resume, creating kick-ass portfolio tasks, sending networking chilly emails, and higher telling your story throughout behavioral interviews

Praise for Ace the Data Science Interview:

“The advice in this book directly helped me land my dream job”

— Advitya Gemawat, ML Engineer, Microsoft

“FINALLY! Cracking the Coding Interview but for Data Science & ML!”

— Jack Morris, AI Resident, 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

“An invaluable resource for the Data Science & ML community”

— Aishwarya Srinivasan, AI & ML Innovation Leader, IBM

“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 at the moment a Data Scientist at a Hedge Fund, and beforehand was a Data Scientist at Facebook engaged on Facebook Groups. He holds a level in Computer Science from the University of Pennsylvania and a level in Business from Wharton. In school he interned at Facebook, Bloomberg, and on Wall Street.

About Nick Singh:
Nick Singh began his profession as a Software Engineer on Facebook‘s Growth Team, and most just lately, labored at SafeGraph, a geospatial analytics startup. He holds a level in Systems Engineering with a minor in Computer Science from the University of Virginia. In school, he interned at Microsoft and Google. His profession recommendation has been learn by over 10 million individuals on LinkedIn.