I was a novice in causal analysis. But I needed some education in counterfactual estimation. This course provided me with the necessary knowledge and tools. I especially enjoyed the matching, IPTW and IV chapters. Thank you!

Really wonderful course--I learned so much in the way of theory and practical application in R. Some links need to be updated and it would be best to provide students with answers to worked examples for the quiz questions.

I really appreciate that this course is available on Coursera. It was exactly what I was looking for - a well-explained reliable course with interesting examples, quizzes and small projects to try in R.

Great introduction on the causal analysis.The instructor did a great job on explaining the topic in a logical and rigorous way. R codes are very relevant and helpful to digest the material as well.

Great class！ I have learned a lot on causal inference to conduct experiment analysis at work. The R coding sessions and lectures on the logic/math behind are really helpful.

A great start for those starting to explore causal inference. The somewhat dry delivery of the lectures is fully compensated by how clear and informative they are.

This is a great course to me! This course really helps me have a better understanding of what constitutes causal effects. I really appreciate him for this course!

My work involves working with observational data. This course taught me to think in more formal and organized way on topics and questions of causal inference.

Great introduction to the field covering model synthesis of causality ideals. Glitches in assignments - make sure to check the discussion for workarounds.

Excellent video lectures. Challenging end of module quizzes. I found more challenging doing the practical exercises because I had no experience with R.

A very thorough and pleasant intro into the topic. Thanks from Russia! To the lecturer - be more confident in yourself! You are great at your stuff :)

Great course! I am glad i came accross it. Helped me a great deal with my project at work. I wish there were more courses by this professor.

This course is really fantastic for all levels. Very thorough explanations and helpful illustrations. Many thanks for putting this together!

This course is very helpful for people to understand basics of causual inference with clear explaination and rich real-world examples.

Очень лаконичный и полезный курс. Очень помог разобраться в теме Causal Inference. Отлично подходит для начала вхождения в данную тему.

Great course. Very clear and practical.

Personally I would have preferred coding and exercises in Python, but overall a great course.

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

Covered from mathematical concepts to practical statistical analysis with R. A perfect course for newcomers on causal inference.

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

I was so glad to do this course, it was really helpful for me. How do I make a Citation APA from this Course? Thanks lot.

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

Excellent course. This course helped me to develop my intuition on some of the more abstract concepts in causality.

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.

This course is excellent at laying the foundations for casualty. Only con is that the slides cannot be downloaded