“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.
Book Description
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
Download Free PDF / Read Online
Author(s): Jeffrey M. Stanton
Publisher: –
Format(s): PDF
File size: 18.46 MB
Number of pages: 157
Link: Download.
Publisher: –
Format(s): PDF
File size: 18.46 MB
Number of pages: 157
Link: Download.