Introduction to FinTech Analysis with R

The intersection of finance and technology is reshaping how we manage, analyze, and invest money. To succeed in this fast-growing sector, understanding how to programmatically analyze financial data is a crucial skill. This text-based course guides you through the core concepts of financial technology (FinTech) using the R programming language. You will transition from understanding basic financial metrics to writing clean, reproducible R code that analyzes market trends, evaluates portfolio risk, and models financial data. What you'll learn: - Understand foundational FinTech concepts, financial market structures, and key terminology. - Manipulate financial datasets using modern R libraries and tidyverse conventions. - Calculate critical financial metrics, including asset returns, volatility, and risk-adjusted performance. - Visualize financial trends and stock performance using clean, professional data plots. - Apply basic statistical modeling to financial time-series data for forecasting. - Implement clean coding practices and structured workflows for reproducible financial research. We begin with essential financial definitions and R programming fundamentals before moving on to hands-on data manipulation and time-series analysis. You will work through structured written explanations and code examples designed to build your confidence step-by-step. This course is designed for beginners who are new to both FinTech and R programming, with no prior coding experience or advanced finance background required. Start your journey into financial data science and unlock the power of R for FinTech today.