000			01778nam a22002657a 4500
005			20251030092025.0
008			251030b |||||||| |||| 00| 0 eng d
020			_a9781032941677
040			_cAL
041			_aeng
082			_a006.312 _bBAUM
100			_aBenjamin S Baumer and others _9243172
245			_aModern data science with R Ed 2
250			_a2
260			_aNew York _bCRC Press _c2021
300			_axvii,631p. _bHB _c25x17.5
365			_2Computer Science Engineering Artificial Intelligence and Machine Learning _a4224 _b₹2796.00 _c₹ _d₹3495.00 _e20% _f23-10-2025
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			_aVisualization _9243173
650			_aStatistics and Modeling _9243174
650			_aBig Data _9243175
700			_aKaplan, Daniel T _9243176
700			_aHorton, Nicholas J _9243177
942			_2ddc _cBK
999			_c240611 _d240611