Book Review: Modern Data Science with R , Baumer, Benjamin S., Kaplan, Daniel T. and Horton, Nicholas J. Chapman & Hall/CRC, 2017.

Research output: Contribution to journalBook/Film/Article review

Abstract

Readership: Undergraduate and graduate students, data analysts and readers with some statistical background.
Modern Data Science with R illustrates how the statistical software R/RStudio can be used to conduct statistical programming on various forms of data. Its focus is on applying the statistical and computer science concepts to real‐world problems. This book is suitable as a textbook for undergraduate students. It is also a useful reference for graduate students, data analysts and readers with some background in statistics, who may use this book to develop their data analytic skills in R in order to carry out data science projects.
Original languageEnglish
Pages (from-to)162-162
Number of pages1
JournalInternational Statistical Review
Volume86
Issue number1
DOIs
Publication statusPublished - 2018

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