The rapid emergence of FinTech has turned conventional approaches to financial technology into three popular investment categories: payments, lending/crowdfunding, and data & analytics. The objective of this course is to explore financial data mining based on quantitative trading data. Data Mining in Finance presents a comprehensive overview of major algorithmic approaches to build predictive models, including mathematics, statistical, machine-learning methods, and then examines the suitability of these approaches to quantitative trading data. This course primarily provides concepts and analytical approaches to analyzing financial data by using Python language. Students will learn advanced methods and skills for Fintech.