Business Analytics with Python (häftad, eng)
Business Analytics with Python (häftad, eng)
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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.
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.
| Format | Häftad |
| Omfång | 408 sidor |
| Språk | Engelska |
| Förlag | Kogan Page Ltd |
| Utgivningsdatum | 2025-03-03 |
| ISBN | 9781398617179 |
Artikelnummer
3612888
EAN
9781398617179
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