000			02046cam a22002778i 4500
001			21356158
003			ZET-ke
005			20220125104708.0
008			200107s2020 enk b 001 0 eng
010			_a 2019044741
020			_a9781108472449 _q(hardback)
020			_z9781108560412 _q(epub)
040			_aDLC _beng _erda _cDLC _dZET-ke
050	0	0	_aQA76.9 _b.S53 2020
100	1		_aShah, Chirag, _eauthor.
245	1	2	_aA hands-on introduction to data science / _cChirag Shah, Rutgers University, New Jersey.
263			_a2001
300			_apages cm
504			_aIncludes bibliographical references and index.
505			_aConceptual introductions -- Tools for data science -- Machine learning for data science -- Applications, evaluations, and methods.
520			_a"This book introduces the field of data science in a practical and accessible manner, using a hands-on approach that assumes no prior knowledge of the subject. The foundational ideas and techniques of data science are provided independently from technology, allowing students to easily develop a firm understanding of the subject without a strong technical background, as well as being presented with material that will have continual relevance even after tools and technologies change. Using popular data science tools such as Python and R, the book offers many examples of real-life applications, with practice ranging from small to big data. A suite of online material for both instructors and students provides a strong supplement to the book, including datasets, chapter slides, solutions, sample exams and curriculum suggestions. This entry-level textbook is ideally suited to readers from a range of disciplines wishing to build a practical, working knowledge of data science"--
650		0	_aComputer science. _91224
650		0	_aInformation technology. _9931
776	0	8	_iOnline version: _tA hands-on introduction to data science _b1. _dNew York : Cambridge University Press, 2019. _z9781108560412 _w(DLC) 2019044742
942			_2lcc _cBK _kQA76.9 _m.S53 2020
999			_c4989 _d4989