1st Edition

Applied Data Science in FinTech Models, Tools, and Case Studies

By Juraj Hric, Yiping Lin Copyright 2026
410 Pages 154 Color Illustrations
by Routledge

410 Pages 154 Color Illustrations
by Routledge

410 Pages 154 Color Illustrations
by Routledge

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... Read more

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

Biography

Juraj Hric is Co-Founder and Chief Executive Officer at Zyanza Technologies. He is a course convenor for banking, finance and financial technology modules at the University of New South Wales, Australia.

Yiping Lin is Co-Founder of Alt Data Tech, a leading provider of alternative data. He is also the director of undergraduate and postgraduate FinTech programs at the University of New South Wales, Australia.