MOOC on Causal analysis - Recommendations for software engineer Am a software guy with no background in causal inference.
While I am now familiar with prediction techniques due to plethora of courses available online, I would like to seek recommendations from people here for causal inference.
As you might now, how prediction techniques tutorials are available in way which can be consumed by people from software background, I would like to learn causal inference techniques like Propensity Score Matching, Comparative Effetiveness Research, epidemiology analytics, effect estimates, Hazard Ratios, Odd ratios etc in a proper course which can take us from beginner to advanced curriculum. Basically, things that are used in observational healthcare research and public health fields. Is there any courses like what Udacity offers for Data Science (which only deals with Prediction problems). Am looking for a similar course which can take us from A-Z of causal analysis.
Can you guys direct me to some resources where I can learn such techniques? Doesn't really have to be a degree but can also be online tutorials or Youtube series

This is a bit of a random collection:

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*Richard McElreath's Statistical Rethinkining lecture series has substantial parts on causal inference.

*There's also a good number of presentations available online by the authors of the "Causal inference book". They give in person courses, but I don't see a recording of those online.

*This causality webinar has the endorsement of TWIML, which has some weight with me, but it's also not cheap.

*Note exactly matching your question, but the bits I've looked at in this online book were quite well done.

Personally, I've not found Judea Pearl a very good experience, but that may just be personal preference and he would be a big name in the field.
