000 02278cam a22003618i 4500
001 21356158
003 JO-AjAnu
005 20241020094331.0
008 200107s2020 enk b 001 0 eng
010 _a 2019044741
020 _a9781108472449
_q(hardback)
020 _z9781108560412
_q(epub)
040 _aDLC
_beng
_erda
_cDLC
_dJO-AjAnu
042 _apcc
050 0 0 _aQA76
_b.S469 2020
082 0 0 _a004
_223
100 1 _aShah, Chirag,
_eauthor.
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,
_c2020.
300 _apages 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.
650 0 _aInformation technology.
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 _2lcc
_cBK
_n0
999 _c33790
_d33790