Great preparation for interviews in the areas of data science, data analysts and machine learning
Learn how to Ace the Data Science Interview, how to write a data science resume, and how to build a great data science portfolio.
The book Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street is written by two ExFacebook employees, Nick Singh & Kevin Huo. This book claims it has the best way to prepare for a data science, data analyst and machine learning interview, whether you're looking for your dream job at MAANG, a tech startup or Wall Street.
Ace the Data Science Interview
201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street
This book covers
Following are the topics covered in the book Ace the Data Science Interview
- 201 real data science interview questions from Facebook, Google, Amazon, Netflix, Stripe, Two Sigma, Citadel and more  with detailed step-by-step solutions!
- Questions cover topics most frequently used in data interviewing: probability, statistics, machine learning, SQL and database design, coding (Python), product analysis, and A/B testing.
- Each chapter contains a short course on the most important concepts and formulas to consider.
- Learn how to solve open case study problems that combine product acumen, business intuition, and statistical modelling skills, and practice through case interviews from Airbnb, Instagram, and Accenture.
Learn How to get into Data Science Job
This book has quality tips on the following topics
- how to build a data science resume
- how to build a great portfolio of data science projects
- Proven practices of sending a cold email online to grab data science job opportunities
- How to tell a better story through data science behavioural interviews.