iTunes

Opening the iTunes Store.If iTunes doesn't open, click the iTunes application icon in your Dock or on your Windows desktop.Progress Indicator
Opening the iBooks Store.If iBooks doesn't open, click the iBooks app in your Dock.Progress Indicator
iTunes

iTunes is the world's easiest way to organize and add to your digital media collection.

We are unable to find iTunes on your computer. To download from the iTunes Store, get iTunes now.

Already have iTunes? Click I Have iTunes to open it now.

I Have iTunes Free Download
iTunes for Mac + PC

Introduction to Data Science

Using the R Language for Statistical Computing and Graphics

Jeffrey M. Stanton

This book is available for download with iBooks on your Mac or iPad, and with iTunes on your computer. Multi-touch books can be read with iBooks on your Mac or iPad. Books with interactive features may work best on an iPad. iBooks on your Mac requires OS X 10.9 or later.

Description

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.

Screenshots

screenshot 1
screenshot 2
screenshot 3

Customer Reviews

An Important, Accessible Work

This book hit my desk at just the right moment. I am currently working on a project which considers the varied ways a company is targeting its promotional activities and reviewing Google Analytics for past activities. I find this work fascinating. Professor Stanton is a master at making the complex accessible. I took his introductory statistics course and not only learned but actually enjoyed every minute of the course. After reading the first chapter of this new book, I'm already hooked. This is an important text for anyone who wants to understand how data underpins decision-making and impacts our world.

Introduction to Data Science
View In iTunes
  • Free
  • Level: Grades 13-17
  • Available on iPad and Mac.
  • Category: Software
  • Published: Nov 29, 2013
  • Publisher: Jeff Stanton
  • Seller: Jeffrey Stanton
  • Print Length: 182 Pages
  • Language: English
  • Version: 3.0
  • Requirements: To view this book, you must have an iPad with iBooks 3 or later and iOS 5.1 or later, or a Mac with iBooks 1.0 or later and OS X 10.9 or later.

Customer Ratings

More by Jeffrey M. Stanton