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

I think A Crash Course in Causality: Inferring Causal Effects from Observational Data would be a good starting point.
looper resource list contains lots of nice links to introductory and research material, software and MOOCs.
Disclaimer: I am the maintainer.
An other approach as a software engineer, one could work through examples from Python and CRAN packages out there. Specially CRAN packages, usually they come with nice documentation in the form of vignettes. See for example, MatchIt.
