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

Judea Pearl is definitely a scholar you should read if you're interested in modern causal inference. While he has written a fair amount on the subject, I've collated some of his more introductory material here for you.
He has some books:

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*The Book of Why: The New Science of Cause and Effect

*Causal Inference in Statistics: A Primer

*Causality: Models, Reasoning, and Inference
which I would read the order given due to increasing technicality.
I'd also consider reading some of his papers, which are immediately accessible.

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*An Introduction to Causal Inference (2010)

*Causal Inference in Statistics: An Overview (2009)
