Applied Data Science in Fintech - Models, Tools, and Case Studies

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.

List of 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

About the author

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 programmes at the University of New South Wales, Australia.

Product details

• Authors: Juraj Hric, Juraj Lin Hric, Yiping Lin
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Release: 19.03.2026
• EAN: 9781032762586
• ISBN: 978-1-0-3276258-6
• No. of pages: 280
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Programming languages; Social sciences, law, business > Media, communication > Book trade, library system; Software Engineering, BUSINESS & ECONOMICS / Finance / General, BUSINESS & ECONOMICS / Management Science, COMPUTERS / Programming / Algorithms, BUSINESS & ECONOMICS / Finance / Financial Risk Management, BUSINESS & ECONOMICS / Industries / Financial Services, BUSINESS & ECONOMICS / Finance / Financial Engineering, computer science, Finance & accounting, Information technology: general issues, Programming & scripting languages: general, Financial services industry, Library & Information Sciences, Hospitality and service industries, Programming and scripting languages: general, Finance and accounting, COMPUTERS / Languages / Python, Library and information sciences / Museology, Digital and Information technology: general topics