Learn R for Applied Statistics: With Data Visualizations, Regressions, and Statistics

by Eric Goh Ming Hui

Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics and regressions. After learning R’s syntax, you will work through data visualizations such as histograms and boxplot charting, descriptive statistics, and inferential statistics such as t-test, chi-square test, ANOVA, non-parametric test, and linear regressions.
Learn R for Applied Statistics is a timely skills-migration book that equips you with the R programming fundamentals and introduces you to applied statistics for data explorations.
What You Will Learn
Who This Book Is For
Those who are interested in data science, in particular data exploration using applied statistics, and the use of R programming for data visualizations.

258 pages, Paperback

Published December 1, 2018

Reviews

[Nicolay · Rating 1 out of 5]

Seems written just to tick some boxes. It is very short and even then it manages to have about 25% of filler content.
Do not recommend.