Section1 : Introduction
Section2: Structural Causal Models, Interventions, and Graphs
Section3: Causal Discovery
Section4: Confounding Bias and Surrogate Experiments
Section5: Recovering from Selection Bias
Section6: Transportability of Causal Knowledge Across Domains
The Causal Data Science Process