This course offers a thorough introduction to Fintech by blending financial theory with practical programming in R. You will start by mastering the basics of money management, and learning how to analyze and optimize financial decisions. Next, you’ll dive into the intricacies of stock market timing, where you will develop and refine algorithms to forecast market movements, honing your ability to make data-driven decisions in real time.
As you advance, the course will guide you through the complex world of asset pricing, introducing you to various quantitative strategies including growth and AI-driven techniques. You’ll gain hands-on experience coding these strategies in R, allowing you to see firsthand how they perform and why they are crucial in modern financial analysis. The course culminates with a practical project, where you will build a web-based financial application using R Shiny, integrating all the concepts you’ve learned to create a functional, user-friendly platform.
Throughout this journey, you will acquire not only technical skills but also the analytical mindset necessary to thrive in the fast-paced Fintech industry. By the end of this course, you will be well-equipped to apply R programming in a variety of financial contexts, from managing personal investments to developing advanced trading algorithms.
This course is ideal for aspiring Fintech professionals, data analysts, and finance enthusiasts who are looking to integrate programming skills with financial knowledge. A basic understanding of finance and introductory programming experience is recommended.
Overview
Syllabus
- Introduction
- In this module, we will introduce the foundational principles of money management. You'll learn the critical elements of creating a budget and recognize common mistakes to avoid in personal finance.
- Stock Market Timing
- In this module, we will delve into the techniques of timing the stock market, focusing on both the quantitative and coding aspects. You will learn how to analyze market trends and develop algorithms to predict movements, enabling you to make informed investment decisions.
- Asset Pricing
- In this module, we will delve into the fundamentals of asset pricing, exploring various strategies and methodologies employed in financial markets. You will learn to create and analyze growth strategies, engage in qualitative discussions, and develop sophisticated AI-driven pricing models. The module culminates with a comprehensive project on building a web-based application using R Shiny, integrating front-end and back-end development for a practical software platform.
Taught by
Packt - Course Instructors
