Discover best practices for data analysis and software development in R and start on the path to becoming ..."> Discover best practices for data analysis and software development in R and start on the path to becoming ..."/>
Image of Beginning Data Science in R
Bookmark Share

Text

Beginning Data Science in R

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R.

Beginning Data Science in R details how data science is a combination of statistics, computa- tional science, and machine learning. You'll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. This requires computational methods and programming, and R is an ideal programming language for this.

This book is based on a number of lecture notes for classes the author has taught on data science and statistical programming using the R programming language. Modern data analysis requires computational skills and usually a minimum of programming.

Perform data science and analytics using statistics and the R programming language

Visualize and explore data, including working with large data sets found in big data

Build an R package

Test and check your code

Practice version control

Profile and optimize your code

Availability
#
Information Technology 006.2/MAI/IT0702
IT0702
Available
Detail Information
Series Title
-
Call Number
006.2/Mai/IT0702
Publisher
New York : APRESS.,
Collation
-
Language
English
ISBN/ISSN
978-1-484-24058-8
Classification
NONE
Content Type
-
Media Type
-
Carrier Type
-
Edition
First edition
Subject(s)
-
Specific Detail Info
-
Statement of Responsibility
Other version/related

No other version available

File Attachment
No Data
Comments
You must be logged in to post a comment