000			01892nam a2200277 4500
005			20250623160510.0
008			250623b |||||||| |||| 00| 0 eng d
020			_a9781032941677
040			_aCSL _cCSL
041			_2eng _aeng
084			_aB28,92R Q7;R5 _qCSL
100			_aBaumer, Benjamin S _eauthor
245			_aModern data science with R
250			_a2nd ed.
260			_aBoca Raton : _bCRC press, _c2025.
300			_axvii, 631 p. _b: ill. _c: 25 cm.
500			_aIncludes Appendices, Bibliography and indices
520			_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.
650			_a Big data _9813647
650			_aInformation visualization. _9813648
650			_aReproducible research. _9813649
650			_a Data mining. _9813650
700			_aKaplan, Daniel T. _eco-author. _9813651
700			_aHorton, Nicholas J. _eco-author
942			_2CC _n0 _cTEXL _e2nd ed. _hB28,92 Q7;R5
999			_c1432144 _d1432144