Modern data science with R
Baumer, Benjamin
creator
Kaplan, Daniel T.
Co-author
Horton, Nicholas J.
Co-author
text
Boca Raton
CRC Press Taylor and Francis Group
2017
monographic
| 0
xvi, 551 p. 27 cm
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.
https://www.crcpress.com/Modern-Data-Science-with-R/Baumer-Kaplan-Horton/p/book/9781498724487
Data mining
Big data
Mathematical statistics - data processing
R - computer program language
Data analysis - applied mathematics
006.312 B2M6
Chapman & Hall/CRC texts in statistical science series
9781498724487
170913