Free eBook: Introduction to Data Science

Introduction to Data Science

“Introduction to Data Science”, a free eBook 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.

Table of Contents

  • About Data
  • Identifying Data Problems
  • Getting Started with R
  • Follow the Data
  • Rows and Columns
  • Beer, Farms and Peas
  • Sample in a Jar
  • Big Data? Big Deal!
  • Onward with R-Studio
  • Tweet, Tweet!
  • Popularity Contest
  • String Theory
  • Word Perfect
  • Storage Wars

Book Details

Author(s): Jeffrey M. Stanton
Publisher: –
Format(s): PDF
File size: 18.46 MB
Number of pages: 157
Link: Download.

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