Data Analysis for Business Students

“Essential reading for business students and professionals looking to develop their quantitative skills in an increasingly data-driven digital world. Many studying data analysis for the first time struggle with the concepts and language of the subject. This text addresses this problem head-on with the pedagogic approach of mind-mapping, allowing the development of linkages between concepts, to foster the next-generation of data-literate business leaders”. Professor Angus Duff, Retired Professor of Accounting at University of the West of Scotland “An innovative guide for business students, Data Analysis for Business Students: A Mind Mapping Approach simplifies complex concepts through visual learning. This book brilliantly bridges theory and practice, making data analysis engaging and accessible. A must-read for anyone looking to master data-driven decision-making with clarity and confidence”. Professor Jonathan Liu, Professor of Global Business Management at University of Wales Trinity Saint David ""Dr Guo is rapidly establishing himself as a world leader in digital accounting education, and this groundbreaking book is proof of that. Data Analysis for Business Students: A Mind Mapping Approach is nothing short of revolutionary. With over 100 mind maps and 50 Python code examples, it makes complex data analysis concepts accessible, engaging, and deeply practical. This is an essential resource that will shape the future of teaching and learning in business and accounting”. Dr Carolynn Gray, Head of Division, Accounting, Finance and Law Division at University of the West of Scotland ""Data Analysis for Business Students provides students with a grounding in data analysis. By using mind maps and building skills and confidence gradually using practical exercises, the textbook helps to make the subject engaging and accessible to students"". Professor Susan Smith, Professor of Accounting at UCL School of Management