000			03486nam a22004697a 4500
003			phtghnu
005			20250410163807.0
008			230716t20242022flua ob 001 0 eng
010			_a 2023012065
020			_z9781032505268 _q(paperback)
040			_beng _cHNU _erda
041	1		_aeng _hger
042			_apcc
050	0	0	_aQA76.9.D343 _b2024
082	0	0	_223/eng/20230818 _3GC _a006.312 Al15 _b2024
100	1		_aAlby, Tom, _eauthor, _etranslator.
240	1	0	_aData Science in der Praxis. _lEnglish
245	1	0	_aData science in practice / _cTom Alby.
264		1	_aBoca Raton, FL ; _aLondon : _bCRC Press, Taylor & Francis Group, _c2024.
264		4	_c©2022
300			_a xvi, 301 pages : _billustrations (some color) ; _c23 cm.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	0		_aChapman & Hall/CRC data science series
500			_a"Copyright ©2022 Rheinwerk Verlag GmbH. All rights reserved. First published inthe German language under the title "Data Science in der Praxis" (ISBN 978-3-8362-8462-2) by Rheinwerk Verlag GmbH, Bonn, Germany. Translated into English from German by Tom Alby."
504			_aIncludes bibliographical references and index.
505	0		_aMachine learning, data science and artificial intelligence -- The anatomy of a data science project -- Introduction to R -- Exploratory data analysis -- Forecasting -- Clustering -- Classification -- Other use cases -- Workflows and tools -- Ethical handling of data and algorithms -- Next steps after this book?
520			_a"Data Science in Practice is the ideal introduction to data science. With or without math skills: Here you get the all-round view that you need for your projects. This book describes how to properly question data, in order to unearth the treasure that data can be. You will get to know the relevant analysis methods, and will be introduced to the programming language R, which is ideally suited for data analysis. Associated tools like notebooks that make data science programming easily accessible are included in this introduction. Because technology alone is not enough, this book also deals with problems in project implementation, illuminates various fields of application and does not forget to address ethical aspects. Data Science in Practice includes many examples, notes on errors, decision-making aids and other practical tips. This book is ideal as a complementary text for university students, and is a useful learning tool for those moving into more data-related roles"-- _cProvided by publisher.
521			_aCOECS _bBachelor of Science in Information Technology
546			_aIn English
588			_aDescription based on print version record and CIP data provided by publisher.
650		0	_aData mining.
650		0	_aBig data.
650		0	_aQuantitative research _xMethodology.
650		0	_aR (Computer program language)
776	0	8	_iPrint version: _aAlby, Tom. _tData science in practice _dBoca Raton ; London : CRC Press, Taylor & Francis Group, 2024 _z9781032505244 _w(DLC) 2023012064
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK _h000-099
999			_c138504 _d138504