The Art of Data Science

The Art of Data Science
Author: Roger D. Peng
Publisher:
Total Pages: 170
Release: 2016-06-08
Genre: Business & Economics
ISBN: 9781365061462


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"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
Language: en
Pages: 170
Authors: Roger D. Peng
Categories: Business & Economics
Type: BOOK - Published: 2016-06-08 - Publisher:

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"This book describes the process of analyzing data. The authors have extensive experience both managing data analysts and conducting their own data analyses, an
Communicating with Data
Language: en
Pages: 400
Authors: Deborah Nolan
Categories: Science
Type: BOOK - Published: 2021-03-25 - Publisher: Oxford University Press

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Communication is a critical yet often overlooked part of data science. Communicating with Data aims to help students and researchers write about their insights
The Art and Science of Analyzing Software Data
Language: en
Pages: 672
Authors: Christian Bird
Categories: Computers
Type: BOOK - Published: 2015-09-02 - Publisher: Elsevier

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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
Doing Data Science
Language: en
Pages: 408
Authors: Cathy O'Neil
Categories: Computers
Type: BOOK - Published: 2013-10-09 - Publisher: "O'Reilly Media, Inc."

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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
The Real Work of Data Science
Language: en
Pages: 142
Authors: Ron S. Kenett
Categories: Science
Type: BOOK - Published: 2019-04-01 - Publisher: John Wiley & Sons

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The essential guide for data scientists and for leaders who must get more from their data science teams The Economist boldly claims that data are now "the world