Applied Data Science in FinTech

Models, Tools, and Case Studies

Juraj Hric, Yiping Lin

Publisher: Taylor & Francis

Published: 2026

ISBN-13: 9781040638491

ISBN-10: 104063849X

Pages: 410

Subjects: Business & Economics / Finance / Financial Engineering, Business & Economics / Finance / Financial Risk Management, Computers / Programming / Algorithms, Business & Economics / Industries / Financial Services, Computers / Languages / Python, Business & Economics / Management Science, Business & Economics / Finance / General, Business & Economics / Accounting / General, Computers / General, Computers / Languages / General, Computers / Computer Science, Computers / Software Development & Engineering / General, Language Arts & Disciplines / Library & Information Science / General

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About Applied Data Science in FinTech

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 data sets, 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 F...

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