Description
<p><b>Your essential textbook for mastering business analytics through Python.</b><br><b><br><i>Business Analytics with Python </i></b>by <b>Bowei Chen </b>and <b>Gerhard Kling </b>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.<br><br>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.<br><br>Pedagogical features include: <br>- A running case study that reinforces practical learning across chapters <br>- Clear learning objectives and chapter summaries to track progress <br>- Step-by-step exercises and coding activities to build analytical fluency <br>- Examples grounded in real business applications for immediate relevance <br><br>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.</p>