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Data Science in R
ISBN/GTIN

Data Science in R

A Case Studies Approach to Computational Reasoning and Problem Solving
BookPaperback
Ranking183593inWirtschaft
CHF119.00

Description

This book explains the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts approach a problem and reason about different ways of implementing solutions. The book's collection of projects, exercises, and sample solutions encompass practical topics pertaining to data processing and analysis. The book can be used for self-study or as supplementary reading in a statistical computing course, allowing students to gain valuable data science skills.
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Details

ISBN/GTIN978-1-4822-3481-7
Product TypeBook
BindingPaperback
Publication countryUnited States
Publishing date21/04/2015
Edition1. A.
SeriesChapman & Hall/CRC The R Series
Pages540 pages
LanguageEnglish
SizeWidth 178 mm, Height 254 mm, Thickness 32 mm
Weight1000 g
IllustrationsFarb., s/w. Abb.
Article no.20448012
CatalogsBuchzentrum
Data source no.16736349
Product groupWirtschaft
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Series

Author

Deborah Nolan holds the Zaffaroni Family Chair in Undergraduate Education at the University of California, Berkeley. She is a fellow of the American Statistical Association and the Institute of Mathematical Statistics. Her research has involved the empirical process, high-dimensional modeling, and, more recently, technology in education and reproducible research. Duncan Temple Lang is the director of the Data Science Initiative at the University of California, Davis. He has been involved in the development of R and S for 20 years and has developed over 100 R packages. His research focuses on statistical computing, data technologies, meta-computing, reproducibility, and visualization.