000			03237cam a22003018i 4500
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005			20250509085247.0
008			250206s2025 enk b 001 0 eng
010			_a 2024058291
020			_a9781398617179 _q(paperback)
040			_aDLC _beng _erda _cDLC
042			_apcc
050	0	0	_aHD30.2 _b.C728 2025
100			_aChen, Bowei, _eauthor. _925177
245	1	0	_aBusiness analytics with Python _b: essential skills for business students _c/ Bowei Chen and Gerhard Kling.
264		1	_aLondon ; _aNew York, NY : _bKogan Page Limted, _c2025.
300			_a440 pages ; 24 cm
504			_aIncludes bibliographical references and index.
505			_aMathematical foundations of business analytics — Getting started with Python — Data wrangling — Data visualization — Linear regression — Logistic regression — Neural networks — K-nearest neighbours — Naïve Bayes — Tree-based methods — Support vector machines — Principal component analysis — Cluster analysis — Modelling supply chains – use cases — User interfaces and web applications — Answers to exercises.
520			_aFor business school students learning about business analytics, and business professionals seeking practical guidance concerning the skills and techniques that business analytics require, this comprehensive volume is quite simply a must-read. It goes beyond mere theory to illuminate the practical uses of business analytics applicable to real-world situations. This volume is thoughtful, intelligent, well-written and curated, yet readily accessible, providing clear explanations and pertinent insights, while ensuring that the mathematical content remains at a level that readers can understand. I have found it to be invaluable and illuminating, making business analytics intelligible to the interested reader who may not yet be familiar with all that business analytics has to offer.Professor Mairi Maclean, Professor of International Business, School of Management, University of Bath, UK _cProvided by publisher.
520			_aData-driven decision-making is a fundamental component of business success. Use this textbook to help you learn and understand the core knowledge and techniques needed for analysing business data with Python programming. Business Analytics with Python is ideal for students taking upper level undergraduate and postgraduate modules on analytics as part of their business, management or finance degrees. It assumes no prior knowledge or experience in computer science, instead presenting the technical aspects of the subject in an accessible, introductory way for students. This book takes a holistic approach to business analytics, covering not only Python as well as mathematical and statistical concepts, essential machine learning methods and their applications.
650		0	_a Management _x Data processing _911041
650		0	_aDecision making _xData processing.
650		0	_aPython (Computer program language) _913080
700			_aKling, Gerhard _c(Professor of finance), _eauthor.
776	0	8	_iOnline version: _aChen, Bowei. _tBusiness analytics with Python _dLondon ; New York, NY : Kogan Page Limted, 2025 _z9781398617278 _w(DLC) 2024058292
942			_2lcc
999			_c4648 _d4648