Business Analytics with Python: Essential Skills for Business Students
Language: English
Published by Kogan Page, 2025
- Softcover
- Used
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- Title
- Business Analytics with Python: Essential Skills for Business Students
- Author
- Kling, Gerhard
- Publisher
- Kogan Page
- Publication year
- 2025
- Condition
- Very Good
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1398617172
- ISBN 13
- 9781398617179
- Item weight
- 912 grams
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.
"Synopsis" may belong to another edition of this title.
About the Author
Gerhard Kling is a Professor in Finance at the University of Aberdeen. He has worked in higher education for over 18 years (SOAS, University of Southampton, UWE, Utrecht University). His current interests focus on machine learning (ML), artificial intelligence (AI), and their applications in FinTech and Green Finance.
"About the title" may belong to another edition of this title.
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