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Introduction to Data Science, by Jeffrey Stanton, provides non-technical 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. The book is suitable for an introductory course in data science where students have a varied background or as a supplement to an advanced analytics course where students would benefit from an introduction to R. This book is distributed under a Creative Commons license that permits adaptation and redistribution for non-commercial purposes.
What's New in Version 3.0
Version 3.0 of this book contains a new chapter on data mining with support vector machines. Instructions for using Twitter's OAuth functions have been enhanced with additional information for Windows users.
A version of this textbook for the iPad is available via the book's companion website.
What's New in Version 3.0
Version 3.0 of this book contains a new chapter on data mining with support vector machines. Instructions for using Twitter's OAuth functions have been enhanced with additional information for Windows users.
A version of this textbook for the iPad is available via the book's companion website.
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