Foundations of Probability in R

The Korshub Take

This beginner R course makes probability concepts accessible through simulation and practical modeling. Using intuitive examples like coin flips, it introduces random variables, distributions, and conditioning to build a strong foundation for downstream statistical inference.

Who It's For

Beginner analysts, students, and R programmers wanting an intuitive, simulation-based intro to probability and random processes.

Key Takeaways

• Random Variable Fundamentals: Understand discrete and continuous random variables and how distributions model random outcomes.
• Simulation-Based Problem Solving: Write R scripts to run Monte Carlo style random simulations for calculating empirical probabilities.
• Conditioning & Inference: Apply conditional probability rules to set the groundwork for rigorous statistical inference.