Business Analytics With Python - Essential Skills for Business Students

Learn how to use Python programming techniques to analyze business data with this introductory textbook for business students.

List of contents

Section - ONE: Introduction and preliminaries; Chapter - 01: Introduction; Chapter - 02: Mathematical foundations of business analytics; Chapter - 03: Getting started with python; Chapter - 04: Data wrangling; Chapter - 05: Data visualization; Section - TWO: Methods and techniques; Chapter - 06: Linear regression; Chapter - 07: Logistic regression; Chapter - 08: Neural networks; Chapter - 09: K-nearest neighbours; Chapter - 10: Naïve bayes; Chapter - 11: Tree-based methods; Chapter - 12: Support vector machines; Chapter - 13: Principal component analysis; Chapter - 14: Cluster analysis; Section - THREE: Applications and tools; Chapter - 15: Modelling supply chains - use cases; Chapter - 16: User interfaces and web applications; Chapter - 17: Answers to exercises;

About the author

Bowei Chen is an Associate Professor in Marketing Analytics and Data Science at the Adam Smith Business School, University of Glasgow, UK. He is the Programme Director of the MSc in Business Analytics.

Gerhard Kling is Professor in Finance at the University of Aberdeen, UK. He has worked in higher education (SOAS, University of Southampton, UWE, Utrecht University) and consulting (McKinsey).

Product details

• Authors: Bowei Chen, Bowei Kling Chen, Gerhard Kling
• Publisher: Kogan Page
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2025
• EAN: 9781398617179
• ISBN: 978-1-398-61717-9
• No. of pages: 408
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; Social sciences, law, business > Media, communication > Communication science; BUSINESS & ECONOMICS / Information Management, BUSINESS & ECONOMICS / Statistics, Data analysis: general, Data science and analysis: general, COMPUTERS / Data Science / Data Analytics, Business mathematics and systems, Data capture and analysis