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Pros & Cons
Pros
This book contains useful information about modeling, statistic, python, and sql. It also offers a very quick overview of all the topics which are important to know during phone screens.
The book also encourages and guides you to go above and beyond for your interviews. It pretty much applies to anyone going into data science, so that means people who are going to be machine learning engineers at google or a blackrock quant trader you... Read More
This book helps you build the broad, upper part of the t-shaped knowledge base you absolutely need before digging deep into some vertical specialization. The contents are categorized in each chapter with the fundamental concepts and then interview que... Read More
It prepares you quite well. He helps us to come out of traditional technical mindset for job hunting and tries to fit us into marketing mindset. Nuance.
Cons
This is for an experienced data scientist (not analyst) the background on topics is not nearly enough to explain them leaving the average reader confused and discouraged. The sample questions have solutions that are super rushed and hard to understand... Read More

Highlights
Quality
This is the best data science interview preparation book.
The questions are real examples from company interview questions and the solutions provide great frameworks for solving the problems.
It highlights aspects of the content that are often easy to overlook.
Good for prepping faang, tech, and also quant jobs as well.
Price
I think that's the greatest value in this book.
Shipping
Added note: i also had an issue with the amazon shipment where several pages were misprinted on my copy (and which i noticed pa... Read More
Competitiveness
The 201 real interview questions from top companies like facebook, google, and amazon are definitely the highlight.
It is a crash course, and added to this is datalemur which has unique questions enough to crack top tier tech companies for dat... Read More
Overview
- How are reviewers describing this item?
great and helpful. - Our engine has profiled the reviewer patterns and has determined that there is minimal deception involved.
- Our engine has determined that the review content quality is high and informative.
- Our engine has discovered that over 80% high quality reviews are present.
- This product had a total of 1,131 reviews as of our last analysis date on Jan 18 2025.
Helpful InsightsBETA
Posted by a reviewer on Amazon
Added note i also had an issue with the amazon shipment where several pages were misprinted on my copy and which i noticed past my amazon return window
Posted by a reviewer on Amazon
This book is not for the mathematics of it all but it is strictly for the ds roles not the ml engg types
Posted by a reviewer on Amazon
Give it a try if you are looking for something in this area
Posted by a reviewer on Amazon
It is a crash course and added to this is datalemur which has unique questions enough to crack top tier tech companies for data analyst and data scientist interviews
Posted by a reviewer on Amazon
Could also be a valuable resource for people preparing for quant interviews especially the probabilitystats section
Posted by a reviewer on Amazon
Theres not a lot of explanation of the concepts but this isnt meant to be a textbook that teaches you the material its a practice guide for interviews and jogging your memory about what to study assuming you already know the material
Posted by a reviewer on Amazon
Its not a textbook but rather a refresher
Posted by a reviewer on Amazon
Without this book i don’t think i would’ve landed an offer
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