Dec 28, 2017
I really enjoyed this course, the pace could be more even in parts. Sometimes the pace could be more even and some more books/reference material for further study would be nice.
Nov 30, 2017
The material is great. Just wished the professor was more active in the discussion forum. Have not showed up in the forum for weeks. At least there should be a TA or something.
교육 기관: Arnab S•
Nov 24, 2017
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!
교육 기관: Pak S H•
Sep 07, 2020
I completed all 4 available courses in causal inference on Coursera. This one has the best teaching quality. The material is very clear and self-contained!
교육 기관: Andrew•
May 16, 2018
This course is really fantastic for all levels. Very thorough explanations and helpful illustrations. Many thanks for putting this together!
교육 기관: Ted L•
Aug 24, 2019
Well structured to provide solid understanding of fundamentals, good intuition, and a basic view of applying the covered material.
교육 기관: Mario M•
Jan 12, 2020
Great introduction. Immediately used new knowledge in current job (marketing data scientist). Recommended course to co-workers.
교육 기관: Joon-Ku I•
Oct 24, 2017
To those with some advanced statistics background, this would truly be helpful to catch up econometric thought processes.
교육 기관: Hao L•
Aug 31, 2017
Not only good for bio stats, it has also profound impact to my understanding of a/b testing in the internet world.
교육 기관: Abdulaziz T B•
Aug 12, 2017
This is an excellent course taught by a very competent professor in a very simple to understand and intuitive way.
교육 기관: Michael L•
Nov 26, 2017
Excellent overview on causality inference and handling confounders combined with practical examples and R code.
교육 기관: DR A N•
Aug 22, 2017
Excellent course! Can make it longer though and cover more details and latest advances and issues :-)
교육 기관: Huyen•
May 02, 2020
The best course on causal inference on Coursera. Lots of examples, easy to follow materials.
교육 기관: Luca A•
Sep 24, 2019
A clear and straight-to-the-point introduction to causality. I'm really enjoying the course!
교육 기관: Cameron F•
Apr 05, 2019
Good course on the over view of Causality. Not too technical, but not too light and fluffy.
교육 기관: Akash G•
Jun 17, 2018
Amazing Course! Really Helpful. I would love to have a similar full-duration course :D
교육 기관: CAIWEI Z•
Aug 04, 2019
This course is very suitable for beginners, clear and easy to understand.
교육 기관: Vikram R•
Mar 14, 2018
Great course for getting your hands dirty with some real causal methods.
교육 기관: olufemi B o•
Aug 23, 2019
The course itremendoulsy straightened my knowledge of causal evaluation
교육 기관: Bob K•
Oct 16, 2018
Well taught, easy to follow but potentially very important techniques
교육 기관: Gautam B•
Feb 18, 2020
Great intro and overview of the details of Causal Inference methods
교육 기관: Rudy M P•
Apr 17, 2018
I learned the basics of causality inference and want even more now!
교육 기관: Alessandro C•
Mar 31, 2020
Very clear, it give good intuition also for technical points.
교육 기관: keyvan R•
Sep 01, 2020
great course and practical introduction to causal inference.
교육 기관: Ziyang H•
Jul 27, 2020
A good course with detailed explanation and data examples
교육 기관: Mohammed S U•
Sep 04, 2020
Excellent course in causal effect estimation. Thanks .
교육 기관: Aniket G•
Dec 16, 2019
Superb crash course for quickly getting up to speed!