Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street Paperback – 16 Aug. 2021

I liked that the book is well organised and more importantly concise.

This is an excellent resource for anyone aiming to succeed in data science interviews. It offers a clear, concise guide filled with practical questions and answers across key topics like statistics, programming, and machine learning. The book is well-structured, providing vital interview tips and strategies that enhance both technical and communication skills. It's a straightforward, practical tool that effectively prepares candidates for the competitive data science job market.

Bought this book 2 years ago and it still remains my go to for data science interview.

This book is great, and I have no complaints about the content. However, I believe it could benefit from a smaller size. Since the content isn't overly complex, it's the kind of book I'd enjoy reading while commuting or lying down. Unfortunately, its current size makes it cumbersome to hold with just one hand. As a benchmark, I purchased another recommended text for data scientists, Trustworthy Online Controlled Experiments, which is slightly smaller and much easier to read on the go.

This book is practical and systematic, covering essential knowledge for interview success. It includes numerous interview questions you may encounter.

This book is ideal for anyone that really wants to grasp the fundamentals behind data science interviews, as it contains a mixture of important technical and practical knowledge with real-world examples to follow.

This book covers all the aspects about data science and if you just started your journey in data science and feel like I'm learning new things everyday and still confused how this all comes together then look no further this is the ultimate guide.I got this at the end of my Masters in Data Science and this for me is kind of a summary of what I learnt during the masters and also how this can be used in real business settings.

I used this book to prepare for a recent data scientist interview. It was very comprehensive and covers many topics including chapters on preparing CV / resume, good portfolio projects, behavioural interviews, probability, statistics, machine learning, coding / data structures and algorithms, SQL and database design, product sense and case studies. Thing I liked the most was the breadth of the book. Only negative I can think of is I would have liked to have seen to prepare is a real worked example of a take-home challenge in the book, although acknowledge where the authors state they were difficult to incorporate into the book due to differing from company to company, being long and needing a real dataset.