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 Title: Introduction to Data Science, with Introduction to R
 Author(s) Jeffrey Stanton
 Publisher: SAGE (October 6, 2017); eBook (Creative Commons, Syracuse University, 2013)
 License(s): CC BYNCSA 3.0
 Hardcover/Paperback: 288 pages
 eBook: PDF, ePub, Kindle, etc.
 Language: English
 ISBN10/ASIN: 150637753X
 ISBN13: 9781506377537
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Book Description
This book provides nontechnical readers with a gentle introduction to essential concepts and activities of data science. For more technical readers, the book provides explanations and code for a range of interesting applications using the open source R language for statistical computing and graphics.
It also addresses the various skills required, the key steps in the Data Science process, software technology related to the effective practice of Data Science, and the best rising academic programs for training in the field.
In this book, 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 "RStudio" 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.
Reviews, Rating, and Recommendations: Related Book Categories: Data Science
 Data Analysis and Data Mining, Big Data
 The R Programming Language
 Statistics, Mathematical Statistics, and SAS Programming
 Introduction to Data Science, with Introduction to R (Jeffrey Stanton)
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