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: 156 pages
Views: 20,311
Type: Book
Publisher: n/a
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
Post time: 28 Jun 2016 04:00:00
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: 156 pages
Views: 20,311
Document Type: Book
Publisher: n/a
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
Post time: 28 Jun 2016 04:00:00
Share — copy and redistribute the material in any medium or format
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The licensor cannot revoke these freedoms as long as you follow the license terms.
Click here to read the full license.
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.
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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 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.