03343cam a22003138i 45000010009000000050017000090080041000260100017000670200031000840400023001150420008001380500023001461000033001692450112002022640056003143000022003705040051003925050448004435200922008915200771018136500042025846500038026266500046026647000053027107760148027639420008029119520095029199990015030142402139920250509085247.0250206s2025    enk      b    001 0 eng    a  2024058291  a9781398617179q(paperback)  aDLCbengerdacDLC  apcc00aHD30.2b.C728 2025  aChen, Bowei,eauthor.92517710aBusiness analytics with Python b: essential skills for business students c/ Bowei Chen and Gerhard Kling. 1aLondon ;aNew York, NY :bKogan Page Limted,c2025.  a440 pages ; 24 cm  aIncludes bibliographical references and index.  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.  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, UKcProvided by publisher.  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. 0a Management x Data processing911041 0aDecision makingxData processing. 0aPython (Computer program language)913080  aKling, Gerhardc(Professor of finance),eauthor.08iOnline version:aChen, Bowei.tBusiness analytics with PythondLondon ; New York, NY : Kogan Page Limted, 2025z9781398617278w(DLC) 2024058292  2lcc  00102lcc4070aTBSbTBSd2025-05-09l0oHD30.2 CHEpB05741r2025-05-09t1w2025-05-09y1  c4648d4648