Explore how probability underpins data analysis — from basic chance to Monte Carlo simulations. Build the probabilistic thinking skills essential for data science.
Foundations of chance and uncertainty
Probability given new information
Updating beliefs with evidence
Patterns of random outcomes
The long-run average outcome
Measuring spread and uncertainty
The bell curve in data
Drawing conclusions from subsets
Simulation-based probability