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Full Description
This textbook offers a comprehensive introduction to data science and financial technology, with a focus on advanced tools, data modeling, and their applications in FinTech. Adopting an inquiry-based approach, it integrates detailed case studies, clear definitions of financial terms, and practical examples to guide readers through core concepts and methods.
Step-by-step illustrations demonstrate how programs are developed, making the material accessible for students. Dedicated chapters explore cutting-edge applications such as AdviceTech, AgTech, PropTech, chatbots, and sentiment analytics. To support hands-on learning, the book also provides sample code and datasets, enabling readers to experiment, practice, and ultimately design their own programs.
Designed for those with a basic foundation in programming, this book is an ideal companion for applying data science techniques to financial and technological contexts. It is particularly valuable for postgraduate and advanced students in FinTech, Business Analytics, and Data Science programs.
Contents
About the Authors
Glossary of Key Terms
Preface
Section 1. Data Science for FinTech
Chapter 1. Data Science in FinTech
Chapter 2. Data Management for FinTech
Chapter 3. Data Visualization
Chapter 4. Data Modeling in FinTech
Section 2. Advanced Tools for Finance and FinTech
Chapter 5. Bitcoin and Tokenization
Chapter 6. Machine Learning Tools for Finance and FinTech
Chapter 7. Language Analytics for Finance and FinTech
Chapter 8. Chatbots for Sentiment Analytics
Section 3. FinTech Applications
Chapter 9. FinTech Application: AdviceTech
Chapter 10. FinTech Application: AgTech
Chapter 11. FinTech Application: PropTech
Chapter 12. Data Frontiers in FinTech
