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
"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 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 started his career as a Software Engineer on     Facebook    's Growth Team, and most recently, worked at     SafeGraph    , a geospatial analytics startup. He holds a degree in Systems Engineering with a minor in Computer Science from the University of Virginia. In college, he interned at     Microsoft     and     Google    . His career advice on LinkedIn has garnered over 25 million views.

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