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