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