Ace the Data Science Interview
Kevin Huo is a Data Scientist at a Hedge Fund and formerly worked as a Data Scientist at Facebook Groups. He graduated from the University of Pennsylvania with a degree in computer science and from Wharton with a degree in business. He interned at Facebook, Bloomberg, and on Wall Street during college.
Nick Singh began his career as a Software Engineer on Facebook's Growth Team before moving on to SafeGraph, a geospatial analytics startup. He graduated from the University of Virginia with a degree in Systems Engineering and a minor in Computer Science. He interned at Microsoft and Google during college. His LinkedIn career advice has received over 25 million views.
Ace the Data Science Interview, written by two ex-Facebook employees, is the finest approach to prepare for Data Science, Data Analyst, and Machine Learning interviews, so you can land your dream job at FAANG, tech startups, or Wall Street. The book is among the best books on artificial neural networks.
What's on the inside of this 301-page book?
- 201 genuine Data Science interview questions from companies like Facebook, Google, Amazon, Netflix, Two Sigma, Citadel, and more — with thorough step-by-step answers!
- Learn how to break into Data Science by structuring your resume, developing awesome portfolio projects, sending networking cold emails, and conveying your narrative better during behavioral interviews.
- In data interviews, the following topics are typically tested: Probability, Statistics, Machine Learning, SQL & Database Design, Python Coding, Product Analytics, and A/B Testing are all topics covered.
- Each chapter includes a brief overview of the most significant ideas and formulas to review.
- Learn how to answer open-ended case study questions that integrate product knowledge, business intuition, and statistical modeling abilities, and practice with case studies from Airbnb, Instagram, and Accenture.
Author: Nick Singh and Kevin Huo
Link to buy: https://www.amazon.com/Ace-Data-Science-Interview-Questions/dp/0578973839/
Ratings: 4.6 out of 5 stars (from 527 reviews)
Best Sellers Rank: #6,292 in Books
#1 in ODBC Networking
#1 in Data Mining (Books)
#1 in Computer Localization
