Modern Data Science with R

You must be logged in to access this title.

Sign up now

Already a member? Log in

Synopsis

Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling statistical questions.

Contemporary data science requires a tight integration of knowledge from statistics, computer science, mathematics, and a domain of application. This book will help readers with some background in statistics and modest prior experience with coding develop and practice the appropriate skills to tackle complex data science projects. The book features a number of exercises and has a flexible organization conducive to teaching a variety of semester courses.

Book details

Series:
Chapman & Hall/CRC Texts in Statistical Science
Author:
Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton
ISBN:
9781498724586
Related ISBNs:
9781498724494, 9781498724586, 9781498724579, 9781315113760, 9781498724487, 9781498724487
Publisher:
CRC Press
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2019-06-26
Usage restrictions:
Copyright
Copyright date:
2017
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Business and Finance, Computers and Internet, Mathematics and Statistics, Nonfiction