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Customer reviews

4.5 out of 5 stars
4.5 out of 5
851 global ratings
5 star
71%
4 star
17%
3 star
6%
2 star
3%
1 star
3%
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python

Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python

byPeter Bruce
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5.0 out of 5 starsIn a word: wow !
Reviewed in Canada 🇨🇦 on February 9, 2023
What a great book! The authors did a marvellous jobs in packing an incredible amount of information in very little pages AND doing it in a very pleasant style that is direct, informative, and extremely clear.
I have read many books in statistics. I can tell you there are very very few written so well and so pleasant to read.
And to top it all, it is one of the very few book of statistics for non-mathematician that *correctly* explain the p-value and t-test. Many statisticians *still* don't understand what that "significance test" really mean. But these authors do understand it very well and this is very important for anyone new to statistics to know this test correctly and in the hand of these authors they *will* learn it correctly.
Thanks a lot to the authors. You did a fabulous job.
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Top critical review

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Farshad pourmalek
1.0 out of 5 starsIf you are looking for and standard physical "book", this is not a "book".
Reviewed in Canada 🇨🇦 on May 22, 2023
I am not commenting on the content of the book. I am writing about the book production quality. This is not an actual standard book. It is a photocopy print on low-quality paper with poor book binding and cover, like a toy book replica.

Besides, the print is almost monochrome, not even in grayscale. This renders the graphs not usable. The colour prints in the code blocks in the PDF are in colour for a purpose. One needs to look at the PDF as well to use this printed 'book,' which defies the purpose of a printed book.

I wonder how happy the authors are with these issues, and if there is any real-standard book printed available. If you are looking for "book", this is not a "book".
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calvinnme
HALL OF FAME
3.0 out of 5 stars Content is great, the printed version is pathetic
Reviewed in the United States 🇺🇸 on August 30, 2022
Verified Purchase
This has been a common refrain in my review of O'Reilly books. Their technical content is, as usual, excellent and comprehensive. The quality of the printed version is horrendous. The illustrations which were created in color are printed in black and white. As a result, the illustrations are confusing and look faded and would be better off omitted entirely. The printing wanders in and out like it was done on some old dot matrix printer, and the paper seems to be of cheap quality. Quite frankly, it looks like an international version which is usually printed cheaply so that foreign students can afford it.

I'd get a subscription to what was once called Safari Online and read these books online and in color. I'd stay away from printed O'Reilly books unless you can verify that the printing is in color and is a quality job overall. If O'Reilly wants to continue to have my business as far as purchasing print books they should raise the price so that they can deliver a well published product.
14 people found this helpful
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gurls
3.0 out of 5 stars Precise provides good conceptual understanding.
Reviewed in India 🇮🇳 on October 6, 2022
Verified Purchase
Precise provides good conceptual understanding.
Can be used as a guide book to revisit the concepts .
There are no exercises or questions section to evaluate your understanding after covering the topics in a chapter.
2 people found this helpful
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Brendan
3.0 out of 5 stars Python content much worse than R content
Reviewed in the United States 🇺🇸 on December 7, 2020
Verified Purchase
I read through a previous version of this book when I was mainly using R, and it was incredible. One of the better stats application books I've read. Since I switched to Python this year, I was very happy to see that they released a version with Python content. However, I've thus far been very disappointed. The stats content is still great, but overall, the Python code is very often missing comments, doesn't run properly, or some mix of both. The book is still a good primer on the stats that a data scientist needs, but don't expect the code snippets to provide much guidance.
35 people found this helpful
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JKSingh
3.0 out of 5 stars Many good concepts in brief
Reviewed in India 🇮🇳 on June 17, 2021
Verified Purchase
This is a great book covering many concepts that one should learn. This book gives R and Python syntaxes side by side for the analytics. Before going for this book it is highly recommended to learn basics of R or Python as this book is not going to cover the basics. The book explains the principle of statistics and directly jumps to the execution in R and Python. The book does not explain those concepts like t test, chi square test etc in detail and do not have examples to learn those concepts. So one would have to refer to other books to learn comcepts. Also the algorithms like decision tree, KNN etc are not explained in detail. Anyhow, this is a nice book to learn what should one learn and a ready reference to several algorithms. Overall a great collection of concepts in one place. Recommend to read.
6 people found this helpful
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Donald Hunt
3.0 out of 5 stars R, yes. Python, not so much
Reviewed in the United States 🇺🇸 on February 28, 2021
Verified Purchase
The book is well thought out and the explanations of the concepts are sound. The subtitle is a little misleading giving the impression that the book covers both R and Python equally. The reality is that is puts much more emphasis on R programming language and the Python code is an after thought.
26 people found this helpful
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AN
3.0 out of 5 stars Quality Content, Bad Printing
Reviewed in the United States 🇺🇸 on June 23, 2020
Verified Purchase
The content of this book gets 5 stars. I especially appreciate the author including Python this time around. However, O'Reilly decided to print this book in black and white. That isn't acceptable for a $50+ book where you need to be able to distinguish between colored lines on charts.

Thankfully I have an O'Reilly subscription where I can view the digital book in color, as I imagine the author intended.
46 people found this helpful
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Amazon Customer
3.0 out of 5 stars Good
Reviewed in the United Kingdom 🇬🇧 on March 18, 2021
Verified Purchase
It's a good skim through read rather than an in depth book. I I appreciate it being a good beginner friendly book.
One person found this helpful
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Komal Diwe
3.0 out of 5 stars Blank & White print..!
Reviewed in India 🇮🇳 on February 26, 2021
Verified Purchase
At this huge price was expecting color print but got greyscale edition this disappointed me.
Book content is awesome but color print was expected.😢😢
Customer image
Komal Diwe
3.0 out of 5 stars Blank & White print..!
Reviewed in India 🇮🇳 on February 26, 2021
At this huge price was expecting color print but got greyscale edition this disappointed me.
Book content is awesome but color print was expected.😢😢
Images in this review
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Customer image
14 people found this helpful
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Dhruv V Divekar
3.0 out of 5 stars Good book. Poor print
Reviewed in Australia 🇦🇺 on December 23, 2021
Verified Purchase
This is my second O'Reilly book. The content thus far is very good as expected but the print quality is extremely poor compared to the other book I bought. The text is smaller than previously and all black and white which makes certain visualisations unreadable - see image below with a coloured legend which one can't understand anymore.

Most egregious of all is the pages are so thin the text from other pages bleed through.

Not sure if this is a cost cutting venture but you're not going to have me as a repeat customer if this is the new standard
Customer image
Dhruv V Divekar
3.0 out of 5 stars Good book. Poor print
Reviewed in Australia 🇦🇺 on December 23, 2021
This is my second O'Reilly book. The content thus far is very good as expected but the print quality is extremely poor compared to the other book I bought. The text is smaller than previously and all black and white which makes certain visualisations unreadable - see image below with a coloured legend which one can't understand anymore.

Most egregious of all is the pages are so thin the text from other pages bleed through.

Not sure if this is a cost cutting venture but you're not going to have me as a repeat customer if this is the new standard
Images in this review
Customer image Customer image
Customer imageCustomer image
2 people found this helpful
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