Business Analytics with Python
eBook - ePub

Business Analytics with Python

Essential Skills for Business Students

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Business Analytics with Python

Essential Skills for Business Students

About this book

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.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Business Analytics with Python by Bowei Chen,Gerhard Kling in PDF and/or ePUB format, as well as other popular books in Computer Science & Information Management. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. About the Authors
  2. Preface
  3. Acknowledgements
  4. Walkthrough of Features and Online Resources
  5. PART ONE Introduction and Preliminaries
  6. 1 Introduction
  7. 2 Mathematical Foundations of Business Analytics
  8. 3 Getting Started with Python
  9. 4 Data Wrangling
  10. 5 Data Visualization
  11. PART TWO Methods and Techniques
  12. 6 Linear Regression
  13. 7 Logistic Regression
  14. 8 Neural Networks
  15. 9 K-Nearest Neighbours
  16. 10 Naïve Bayes
  17. 11 Tree-Based Methods
  18. 12 Support Vector Machines
  19. 13 Principal Component Analysis
  20. 14 Cluster Analysis
  21. PART THREE Applications and Tools
  22. 15 Modelling Supply Chains: Use Cases
  23. 16 User Interfaces and Web Applications
  24. Answers to Exercises
  25. Bibliography
  26. Index