03237cam a22003018i 4500 24021399 20250509085247.0 250206s2025 enk b 001 0 eng 2024058291 9781398617179 (paperback) DLC eng rda DLC pcc HD30.2 .C728 2025 Chen, Bowei, author. 25177 Business analytics with Python : essential skills for business students / Bowei Chen and Gerhard Kling. London ; New York, NY : Kogan Page Limted, 2025. 440 pages ; 24 cm Includes bibliographical references and index. Mathematical 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. For 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 Provided by publisher. Data-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. Management Data processing 11041 Decision making Data processing. Python (Computer program language) 13080 Kling, Gerhard (Professor of finance), author. Online version: Chen, Bowei. Business analytics with Python London ; New York, NY : Kogan Page Limted, 2025 9781398617278 (DLC) 2024058292 lcc 0 0 lcc 0 0 TBS TBS 2025-05-09 0 HD30.2 CHE B05741 2025-05-09 1 2025-05-09 1 4648 4648