The Art Of Data Science
Download and Read The Art Of Data Science full books in PDF, ePUB, and Kindle. Read online free The Art Of Data Science ebook anywhere anytime directly on your device. We cannot guarantee that every ebooks is available!
The Art of Data Science
Author | : Roger D. Peng |
Publisher | : |
Total Pages | : 170 |
Release | : 2016-06-08 |
Genre | : Business & Economics |
ISBN | : 9781365061462 |
Download The Art of Data Science Book in PDF, Epub and Kindle
"This book describes the process of analyzing data. The authors have extensive experience both managing data analysts and conducting their own data analyses, and this book is a distillation of their experience in a format that is applicable to both practitioners and managers in data science."--Leanpub.com.
The Art of Data Science Related Books
Language: en
Pages: 170
Pages: 170
Type: BOOK - Published: 2016-06-08 - Publisher:
"This book describes the process of analyzing data. The authors have extensive experience both managing data analysts and conducting their own data analyses, an
Language: en
Pages: 673
Pages: 673
Type: BOOK - Published: 2015-09-02 - Publisher: Elsevier
The Art and Science of Analyzing Software Data provides valuable information on analysis techniques often used to derive insight from software data. This book s
Language: en
Pages: 408
Pages: 408
Type: BOOK - Published: 2013-10-09 - Publisher: "O'Reilly Media, Inc."
Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you
Language: en
Pages: 400
Pages: 400
Type: BOOK - Published: 2021-03-25 - Publisher: Oxford University Press
Communication is a critical yet often overlooked part of data science. Communicating with Data aims to help students and researchers write about their insights
Language: en
Pages: 521
Pages: 521
Type: BOOK - Published: 2016-12-12 - Publisher: "O'Reilly Media, Inc."
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R pac