Practical Statistics For Data Scientists: 50+ Essential Concepts Using R And Python
  • Practical Statistics For Data Scientists: 50+ Essential Concepts Using R And Python
  • Practical Statistics For Data Scientists: 50+ Essential Concepts Using R And Python
ISBN: 149207294X
EAN13: 9781492072942
Language: English
Pages: 350
Dimensions: 1" H x 9.19" L x 7" W
Weight: 1.113334 lbs.
Format: Paperback
Publisher:
Select Format Format: Paperback Select Conditions Condition: New

Selected

Format: Paperback

Condition: New

$69.99
Quantity
85 Available

Select Conditions
  • New $69.99 Practical Statistics For Data Scientists: 50+ Essential Concepts Using R And Python

Frequently Asked Questions About Practical Statistics For Data Scientists: 50+ Essential Concepts Using R And Python

Book Reviews (9)

4
  |   9  reviews
Did you read Practical Statistics For Data Scientists: 50+ Essential Concepts Using R And Python? Please provide your feedback and rating to help other readers.
Write Review
Captcha
5
   Helps you build conceptual intuition
This is the best book I have read. The practical application of statistical concepts to data is emphasized by the authors. There are too many statistics books that follow a traditional coverage path. This is perfect for people who prefer to understand the meaning behind statistical tools and applications before they get to the mathematical weeds. If you prefer a more bottom- up approach then you can skip this.
 
1
   BAD PRINT
The book was supposed to be a new one. This is something the seller should have caught. On page 114-115, it looks like the publishing page cutter got crimped, so that the book pages were as seen on the photos. You don't have time to send back another one. Disbelief.
 
5
   Seriously Great Book
I wish I'd found this book before I took the classes I have at the undergraduate and graduate levels. I picked this book up because it was a good primer for what I learned in those courses, and it is very readable and has great further readings. Completely blew away.
 
3
   R, yes. Python, not so much
The book is thought out and the explanations are sound. The subtitle makes it appear that the book covers both R and Python equally. The reality is that the R programming language is more important than the Python code is.
 
2
   Unhelpful
Code provides little or no explanation for the underlying data, which makes it hard to reproduce.
 
3
   Python content much worse than R content
When I was using R, I read through a previous version of this book and it was amazing. I' ve read one of the better books about statistics. I was very pleased to see that they released a version with Python content. I' ve been very disappointed. The statistics content is still great, but the Python code is often missing comments and doesn't run properly. The book is a good primer on the data that a data scientist needs, but don't expect the code snippets to provide much guidance.
 
5
   Very useful book
The book is very useful for beginners. If you know another language, the presence of code in R and Python will help you understand it.
 
4
   Great content - expect black and white print
I was happy to get the python script for the content. I was expecting a color print, but it's black and white.
 
3
   Quality Content, Bad Printing
The book's content gets a 5 star rating. I appreciate the author's use of Python. This book was printed in black and white by O' Reilly. It's not acceptable for a $50+ book where you need to be able to distinguish between colored lines.
 
1