Causal AI & Simulation
A 16-week curriculum on bridging reasoning and dynamics for smarter interventions in complex systems.
Spot spurious correlations and generate synthetic confounded data.
Learning Objectives
- Understand the difference between correlation and causation.
- Identify spurious correlations in real-world examples.
- Generate confounded data to see how spurious relationships arise.
Test Your Knowledge
Resources
reading
reading