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Please note: The content is generated by an AI language model based on reviews. We are constantly improving the accuracy, however, its outputs may contain errors or offensive content from certain reviews. Please report any errors or offensive content to us. Also, please note that we will not collect your questions unless you click the thumbs up/down button to provide feedback. The answers displayed will be stored by us so if another Fakespotter asks a similar question we can provide them an answer faster. Your feedback will only help us make Fakespot Chat better! By using Fakespot Chat, you agree to Fakespot's terms of use and privacy notice.

Pros & Cons

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Pros

I wish this book could come out one or two year earlier when i was struggling to get a data science job interview transiting from academia. It is a good introduction and an inspiration to those who may want to consider getting started in the field.



Cons

This book is almost worthless except for some good questions. The grammar is extremely poor in this book, which makes reading it very difficult at times. It is surprising that none of the multiple authors/editors/publishers caught any of the mistakes....  Read More

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Overview

  • How are reviewers describing this item?
    technical, many, good and most.
  • 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 90% high quality reviews are present.
  • This product had a total of 35 reviews as of our last analysis date on Jul 14 2022.

Helpful InsightsBETA

The AI used to provide these results are constantly improving. These results might change.

    Posted by a reviewer on Amazon

    I was able to build a very vivid picture of potential interview questions key assessing points pivotal solution framework and the careful mapping between them


    Posted by a reviewer on Amazon

    This book not only provides good guidelines of how to ace the interview itself but deeper than that asks the reader why they want to be a data scientist


    Posted by a reviewer on Amazon

    Unlike crack the coding interview which lots of people are using to “study” the interview for a sde position since data science covers such a broader spectrum of subjects it is difficult to build a interview question bank for people to study


    Posted by a reviewer on Amazon

    For the interview question chapter in this book i dont think it should be used to “study” data science


    Posted by a reviewer on Amazon

    Instead it should be used to test and benchmark your knowledge on the subject


    Posted by a reviewer on Amazon

    Strongly recommended for data scientist interview preparation


    Posted by a reviewer on Amazon

    Got the book one night ago and have a phone interview with microsoft today


    Posted by a reviewer on Amazon

    There are some typos but they are minor

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Please note: The content is generated by an AI language model based on reviews. We are constantly improving the accuracy, however, its outputs may contain errors or offensive content from certain reviews. Please report any errors or offensive content to us. Also, please note that we will not collect your questions unless you click the thumbs up/down button to provide feedback. The answers displayed will be stored by us so if another Fakespotter asks a similar question we can provide them an answer faster. Your feedback will only help us make Fakespot Chat better! By using Fakespot Chat, you agree to Fakespot's terms of use and privacy notice.