01761cam a2200217 i 4500008004500000020001800045082001800063100002100081245003100102260005700133300002300190490005900213520105400272650001601326650001301342650004601355650003401401650004001435700003301475700003501508170913b2017 xxu||||| |||| 00| 0 eng d a978149872448700a006.312bB2M61 aBaumer, Benjamin10aModern data science with R aBoca RatonbCRC Press Taylor and Francis Groupc2017 axvi, 551 p.c27 cm0 aChapman & Hall/CRC texts in statistical science series aModern 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 0aData mining 0aBig data 0aMathematical statistics - data processing 0aR - computer program language 0aData analysis - applied mathematics1 aKaplan, Daniel T.eCo-author1 aHorton, Nicholas J.eCo-author