02063cam a2200253 i 4500008004500000020001800045082001800063100002900081245003100110260005700141300002300198490005900221520105400280650002401334650002101358650005401379650004201433650004801475700004101523700004301564942000701607999001901614952017601633170913b2017 xxu||||| |||| 00| 0 eng d a978149872448700a006.312bB2M61 aBaumer, Benjamin934844010aModern 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 mining9348400 0aBig data9348401 0aMathematical statistics - data processing9348402 0aR - computer program language9348403 0aData analysis - applied mathematics93484411 aKaplan, Daniel T.eCo-author93484041 aHorton, Nicholas J.eCo-author9348405 cBK c207228d207228 00102ddc406006_312000000000000_B2M6708NFIC9349175aVSLbVSLcGENd2017-09-18e6g4412.75l2m5o006.312 B2M6p195170q2019-12-31r2018-09-11s2018-09-11v5515.94yBK