I am pleased to announce the launch of Introduction to R: From Data Foundations to Time Series and Financial Analytics on STATLAB Academy.
Designed for learners from beginner to advanced levels, this comprehensive module includes 22 structured chapters organized into three parts:
- Part I: Learning R — data preparation, transformation, visualization and regression
- Part II: Time-Series Foundations — stationarity, ARIMA, forecasting and dynamic regression
- Part III: Financial Time Series and Risk — returns, GARCH, option pricing, VaR, Expected Shortfall, cointegration and more
The course combines clear explanations with reproducible R examples and Canadian data. No previous programming experience is required, and mathematically demanding chapters are clearly identified as optional advanced topics.
Students also receive access to:
- A downloadable 125-page Student Notes PDF
- Canadian macroeconomic teaching data
- A beginner-friendly R starter script
- Guidance for using Posit Cloud and RStudio Desktop
- Worked examples, exercises and selected solutions
- Progress tracking and an R Analyst achievement badge
The final chapter brings everything together through an applied case study on forecasting Canadian inflation.
Explore Introduction to R on STATLAB Academy
Created by Mohammad Safavi, Ph.D.
STATLAB Academy — Making statistics practical, visual and accessible.
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