Competence: Data Science Workflow Level: Recommended

Causal inference is important in data science because it helps us understand the underlying relationships between variables and their effects on one another. It allows us to identify the factors that are causing specific outcomes, which is crucial for making informed decisions and developing effective strategies.

Causal Inference. The mixtape

Causal Inference. What if (book)