Many of the concepts and terminology surrounding modern causal inference can be quite intimidating to the novice.
Judea Pearl presents a book ideal for beginners in statistics, providing a comprehensive introduction to the field of causality.
Examples from classical statistics are presented throughout to demonstrate the need for causality in resolving decision-making dilemmas posed by data.
Causal methods are also compared to traditional statistical methods, whilst questions are provided at the end of each section to aid student learning.