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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
The explanations are clear, and the examples are practical, allowing readers to build a solid foundation in key concepts.
Pros:-great layout covering all bases required for a data scientist-the 201 real interview questions are great for someone look... Read More
Plus, they've gone the extra mile, sharing real tips on resumes, portfolios, and networking - the kind of stuff schools don't t... Read More
It highlights aspects of the content that are often easy to overlook.
Price
I think that's the greatest value in this book.
I would even say that this aspect of the book's value is on par with, if not greater than, the help it provided me during my jo... Read More
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
Packaging/appearance
Each chapter is packed with practical advice and tips that i found immensely helpful.
Competitiveness
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, good, ace 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 1,104 reviews as of our last analysis date on Oct 12 2024.
Helpful InsightsBETA
Posted by a reviewer on Amazon
It highlights aspects of the content that are often easy to overlook
Posted by a reviewer on Amazon
Preparing for interviews can be tricky even for experienced data scientists because we might miss important areas to focus on
Posted by a reviewer on Amazon
To be honest many data scientist roles don’t require such intensive coding or product sense but the more interesting positions often do
Posted by a reviewer on Amazon
As a nonnative english speaker i find it particularly hard to communicate naturally perhaps due to cultural background personality or language barriers
Posted by a reviewer on Amazon
But overall thank you for the valuable insights in the book
Posted by a reviewer on Amazon
To be honest i didnt expect that there would be so many interview types beyond just statistical knowledge query and coding tests
Posted by a reviewer on Amazon
I feel the book can be considered as revision book because even if you read one time it will be beneficial anytime you pick up and read
Posted by a reviewer on Amazon
My favourite part for the book was product sense as i have failed so many interviews with respect to product sense i really enjoyed reading from other perspective
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