000			02313cam a22003618i 4500
001			21356158
003			OSt
005			20240923154301.0
008			200107s2020 enk b 001 0 eng
010			_a 2019044741
020			_a9781108472449
040			_aDLC _beng _erda _cMUL
042			_apcc
050	0	0	_aQA76 _b.S469 2020
082	0	0	_a004 _223 _bSHA
100	1		_aShah, Chirag, _eauthor. _913218
245	1	2	_aA hands-on introduction to data science / _cChirag Shah, Rutgers University, New Jersey.
263			_a2001
264		1	_aCambridge, United Kingdom ; _aNew York, NY, USA : _bCambridge University Press, _cc2020.
300			_axxiii, 433p. ; _bcol. ill. , _c26 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
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"-- _cProvided by publisher.
650		0	_aComputer science. _916
650		0	_aInformation technology. _9493
776	0	8	_iOnline version: _tA hands-on introduction to data science _b1. _dNew York : Cambridge University Press, 2019. _z9781108560412 _w(DLC) 2019044742
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK
999			_c288284 _d288284