Well structured to provide solid understanding of fundamentals, good intuition, and a basic view of applying the covered material.

Great introduction. Immediately used new knowledge in current job (marketing data scientist). Recommended course to co-workers.

To those with some advanced statistics background, this would truly be helpful to catch up econometric thought processes.

Not only good for bio stats, it has also profound impact to my understanding of a/b testing in the internet world.

This is an excellent course taught by a very competent professor in a very simple to understand and intuitive way.

Excellent overview on causality inference and handling confounders combined with practical examples and R code.

Excellent course! Can make it longer though and cover more details and latest advances and issues :-)

The best course on causal inference on Coursera. Lots of examples, easy to follow materials.

A clear and straight-to-the-point introduction to causality. I'm really enjoying the course!

Good course on the over view of Causality. Not too technical, but not too light and fluffy.

Amazing Course! Really Helpful. I would love to have a similar full-duration course :D

This course is very suitable for beginners, clear and easy to understand.

Great course for getting your hands dirty with some real causal methods.

The course itremendoulsy straightened my knowledge of causal evaluation

Well taught, easy to follow but potentially very important techniques

Great intro and overview of the details of Causal Inference methods

I learned the basics of causality inference and want even more now!

Very clear, it give good intuition also for technical points.

Superb crash course for quickly getting up to speed!

Very practical for beginners in causal inference

Thanks so much for providing this great lecture.

gives thorough basic intro to causal inference

Awesome!!! Looking forward to the next one!!!

Excellent courses. I gain my expectations.

The best lecture series of causality