causal-inference-studies
Explaining the main concepts around causal learning via bitesize theory and code! 
| Number | Topic | Lesson | Code | Math | Complexity |
|---|---|---|---|---|---|
| - | Intro | Why causality matters | - | - |  |
| - | Intro | Association vs causation |  |
|
|
| - | Foundations | DAGs | - | |
|
| - | Foundations | DAGs cont'd | - | |
|
| - | Foundations | Causal effects | - | |
 |
| - | Foundations | Confounders | - | |
|
| - | Foundations | Causal discovery | - | |
|
| - | Foundations | Causal assumptions | - | |
 |
| - | Foundations | Learners | - | |
|
| - | Misc. | Debiased/double machine learning | - | |
|
| - | Misc. | Simpson's paradox | - | - | |
| - | Misc. | A/B testing | - | - | |
| - | Misc. | Causality and time | - | - |  |
Complexity score:
-
: a piece of cake
-
: requires thinking about it
-
: requires connecting dots
-
: it's philosophy