An Introduction to Data Science

An Introduction to Data Science

This book provides non-technical readers with a gentle introduction to essential concepts and activities of data science.

Publication date: 31 Dec 2012

ISBN-10: n/a

ISBN-13: n/a

Paperback: 313 pages

Views: 4,242

Type: N/A

Publisher: n/a

License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported

Post time: 28 Jun 2016 03:00:00

An Introduction to Data Science

An Introduction to Data Science This book provides non-technical readers with a gentle introduction to essential concepts and activities of data science.
Tag(s): Big Data Data Science Statistics
Publication date: 31 Dec 2012
ISBN-10: n/a
ISBN-13: n/a
Paperback: 313 pages
Views: 4,242
Document Type: N/A
Publisher: n/a
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
Post time: 28 Jun 2016 03:00:00
Summary/Excerpts of (and not a substitute for) the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported:
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Description/Abstract:

In this Introduction to Data Science eBook, a series of data problems of increasing complexity is used to illustrate the skills and capabilities needed by data scientists. The open source data analysis program known as "R" and its graphical user interface companion "R-Studio" are used to work with real data examples to illustrate both the challenges of data science and some of the techniques used to address those challenges. To the greatest extent possible, real datasets reflecting important contemporary issues are used as the basis of the discussions.

More information is available at the book webpage.




About The Author(s)


Jeffrey M. Stanton, Ph.D. (University of Connecticut, 1997) is Interim Dean and Professor in the School of Information Studies at Syracuse University. Stanton's academic speciality is organizational psychology, including personnel assessment systems, employee surveys, coaching, and institutional change processes.

Jeffrey Stanton

Jeffrey M. Stanton, Ph.D. (University of Connecticut, 1997) is Interim Dean and Professor in the School of Information Studies at Syracuse University. Stanton's academic speciality is organizational psychology, including personnel assessment systems, employee surveys, coaching, and institutional change processes.


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