Courses are structured in a progressive order, moving from introductory intuition to theoretical foundations and then to applied estimation workflows. The sequence below represents the recommended learning order:
Causal AI in a Nutshell
Causal AI: A Theoretical Introduction
Causal Inference with Linear Regression: A Modern Approach (Part I)
Causal Inference with Linear Regression: A Modern Approach (Part II)
At the same time, courses can also be taken individually depending on prior experience or learning goals. The only formal prerequisite is that Part II of the linear regression series requires completion of Part I.
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