FinTech with R Online Course

FinTech with R Online Course

This hands-on R course teaches you to apply statistical programming to finance and machine learning projects. You’ll begin with basics of money management, then move into stock market timing, coding algorithms, and extending them into a broader framework. The course also covers asset pricing, exploring concepts like market beta, CAPM, portfolio efficiency, and growth strategies by selecting top-performing stocks over time. Finally, you’ll learn to build a web-based application, turning your work into a practical software platform for real-world use.

Who should take this course?

This course is designed for finance professionals, data analysts, and aspiring FinTech developers who want to apply R programming to financial modeling, risk analysis, and data-driven decision-making.

What you will learn

• Learn how to time the stock market using probability theory
• Explore the qualitative nature of stock market timing
• Know the quantitative nature of stock market timing
• Learn the basics of asset pricing theory
• Learn the intermediate and advanced asset pricing practices
• Build trade-able factor-based algorithms

Course Outline

Introduction

• Basics in Money Management

Stock Market Timing

• How to Time Stock Market
• How to Time Stock Market, a Qualitative Discussion

Asset Pricing

• First Course in Asset Pricing
• A Growth Strategy
• A Qualitative Discussion on Growth Strategy
• An AI-Driven Strategy
• The Last Bow