Data Analysis for Business Students: A Mind-Mapping Approach
Autor Michael Xin Guoen Limba Engleză Hardback – 31 iul 2025
This unique pedagogical approach offers three key advantages:
- Simplifying complex information: Mind maps systematically organise information, making it easier for students to understand complex data analysis concepts.
- Improving memory retention: By linking pieces of information together, mind maps activate long-term memory and support better memory retention.
- Increasing student engagement: Mind maps can help students prepare for class activities, enabling a deeper understanding of the subject and allowing instructors to focus more on problem-solving skills and critical thinking.
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 354.94 lei 3-5 săpt. | +31.54 lei 4-10 zile |
| Taylor & Francis – 31 iul 2025 | 354.94 lei 3-5 săpt. | +31.54 lei 4-10 zile |
| Hardback (1) | 1024.66 lei 6-8 săpt. | |
| Taylor & Francis – 31 iul 2025 | 1024.66 lei 6-8 săpt. |
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Specificații
ISBN-13: 9781032796994
ISBN-10: 1032796995
Pagini: 312
Ilustrații: 322
Dimensiuni: 174 x 246 x 21 mm
Greutate: 0.78 kg
Ediția:1
Editura: Taylor & Francis
Colecția Routledge
Locul publicării:Oxford, United Kingdom
ISBN-10: 1032796995
Pagini: 312
Ilustrații: 322
Dimensiuni: 174 x 246 x 21 mm
Greutate: 0.78 kg
Ediția:1
Editura: Taylor & Francis
Colecția Routledge
Locul publicării:Oxford, United Kingdom
Public țintă
Postgraduate, Undergraduate Advanced, and Undergraduate CoreCuprins
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
Notă biografică
Michael Xin Guo is a Senior Lecturer at the University of the West of Scotland and a Senior Fellow of the Higher Education Academy.
Recenzii
“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
“Data Analysis for Business Students: A Mind-Mapping Approach showcases the author’s exceptional ability to make complex data analysis concepts accessible and practical. Through clear mind map illustrations and numerous Python coding examples, this innovative textbook empowers business students to confidently apply analytical techniques in real-world digital environments”. Professor Joan Ballantine, Professor of Accounting at Ulster University
“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
“Data Analysis for Business Students: A Mind-Mapping Approach showcases the author’s exceptional ability to make complex data analysis concepts accessible and practical. Through clear mind map illustrations and numerous Python coding examples, this innovative textbook empowers business students to confidently apply analytical techniques in real-world digital environments”. Professor Joan Ballantine, Professor of Accounting at Ulster University
Descriere
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.