Data Analysis for Business Students - A Mind-Mapping Approach

Data Analysis for Business Students: A Mind-Mapping Approach is an innovative educational resource that guides business students in mastering the essential concepts and methodologies of data analysis. This design incorporates mind maps, a proven cognitive tool to streamline the learning experience.

List of contents

Part I: Introduction to Data Analysis; Chapter 1: Introducing Data Analysis for Business Students; Chapter 2: Basic Mathematics for Data Analysis; Part II: Data Preparation and Exploratory Analysis; Chapter 3: Data Sources, Types, and Quality; Chapter 4: Descriptive Statistics and Data Visualisation; Part III: Basic Data Analytics Techniques; Chapter 5: Hypothesis Testing; Chapter 6: Correlation; Chapter 7: Regression Analysis; Part IV: Advanced Data Analytics Techniques; Chapter 8: Factor Analysis; Chapter 9: Cluster Analysis; Chapter 10: Structural Equation Modelling; Part V: Data Analysis in a Digital World; Chapter 11: Advanced Techniques in Big Data and Machine Learning; Chapter 12: Ethical Considerations in Data Analysis; Chapter 13: Data Analysis Tools, Software, and Cloud Platforms; Chapter 14: Data Analysis Applications in Business Domains

About the author

is a Senior Lecturer at the University of the West of Scotland and a Senior Fellow of the Higher Education Academy.

Product details

• Authors: Michael Guo, Michael Xin Guo
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Release: 22.07.2025
• EAN: 9781032796987
• ISBN: 978-1-0-3279698-7
• No. of pages: 296
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Data communication, networks; Social sciences, law, business > Business > Management; Business and Management, BUSINESS & ECONOMICS / Economics / General, BUSINESS & ECONOMICS / Management Science, computer science, Business & management, Network Management, Data capture and analysis