| Management number | 231707844 | Release Date | 2026/06/18 | List Price | US$16.28 | Model Number | 231707844 | ||
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Your essential textbook for mastering business analytics through Python.Business Analytics with Python by Bowei Chen and Gerhard Kling is the definitive guide for upper-level undergraduate and postgraduate students studying business, management or finance. Designed to support analytics modules that prioritize practical application, this textbook introduces students to data-driven decision-making through Python, without assuming a background in computer science. It aligns with course outcomes by integrating statistical, mathematical and machine learning techniques into a unified business context.This textbook takes a holistic approach to business analytics, exploring how Python can be used to interpret and solve real-world problems. From foundational coding skills to the implementation of supervised and unsupervised machine learning methods, students learn how to translate data into insight across key business functions. Through industry-relevant case studies, including customer churn analysis, fraud detection and sales forecasting, learners build confidence in applying analytics to real organizational challenges.Pedagogical features include: - A running case study that reinforces practical learning across chapters - Clear learning objectives and chapter summaries to track progress - Step-by-step exercises and coding activities to build analytical fluency - Examples grounded in real business applications for immediate relevance Whether preparing for exams or building analytical capability for a future career, this textbook equips students with the tools to turn business data into strategic advantage. Read more
| ASIN | B0DFYTZL51 |
|---|---|
| XRay | Not Enabled |
| ISBN13 | 978-1398617278 |
| Edition | 1st |
| Language | English |
| File size | 10.7 MB |
| Page Flip | Enabled |
| Publisher | Kogan Page |
| Word Wise | Not Enabled |
| Print length | 406 pages |
| Accessibility | Learn more |
| Screen Reader | Supported |
| Publication date | March 3, 2025 |
| Enhanced typesetting | Enabled |
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