The rapid emergence of FinTech has turned conventional approaches to financial technology by 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 R language. Students will learn advanced methods and skills for Fintech