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).

• 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;

"For business school students learning about business analytics, and business professionals seeking practical guidance concerning the skills and techniques that business analytics require, this comprehensive volume is quite simply a must-read. It goes beyond mere theory to illuminate the practical uses of business analytics applicable to real-world situations. This volume is thoughtful, intelligent, well-written and curated, yet readily accessible, providing clear explanations and pertinent insights, while ensuring that the mathematical content remains at a level that readers can understand. I have found it to be invaluable and illuminating, making business analytics intelligible to the interested reader who may not yet be familiar with all that business analytics has to offer."