WJ
Sep 11, 2021
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.
MM
Dec 27, 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.
By Anne G
•Sep 19, 2022
Thank for the awesome course! Learned a great deal!
By Aniket G
•Dec 15, 2019
Superb crash course for quickly getting up to speed!
By Zhe C
•Apr 21, 2022
I learned a lot from this course! Highly recommend!
By Marriane M
•Oct 8, 2019
Very practical for beginners in causal inference
By Min-hyung K
•Jun 30, 2017
Thanks so much for providing this great lecture.
By Arka B
•May 31, 2018
gives thorough basic intro to causal inference
By Michael S
•Jul 7, 2019
Awesome!!! Looking forward to the next one!!!
By Tarashankar B
•Sep 8, 2020
Detailed and excellent course on causality
By Pichaya T
•Feb 26, 2018
Excellent courses. I gain my expectations.
By Akin A C
•Jan 3, 2021
excellent course, very very useful!!
By Takahiro I
•Sep 26, 2017
The best lecture series of causality
By Clancy B
•Aug 28, 2018
no nonsense, in depth and practical
By Carolina S
•May 18, 2021
A very good introduction course.
By Paulo Y C
•Aug 2, 2020
intense and well crafted course!
By William L
•Apr 3, 2020
wonderful course, very helpful
By Bob H
•Oct 19, 2017
Good intro of the techniques.
By Junho Y
•Dec 21, 2020
Jason Roy! He is a monster!
By Simon J S
•Aug 4, 2023
Great Course, Thank You!
By Xisco B T
•May 5, 2019
Very interesting studies.
By Andreas N
•Aug 29, 2020
Very well presented.
By Chang L
•Sep 11, 2017
enjoyed it very much
By Jose S
•Feb 22, 2020
Enlightening.
By Bolin W
•Jun 4, 2021
wonderful!
By Alfred B
•Nov 22, 2019
Overall a great course. Better than other courses on causal inference on coursera. However, some of the topics (e.g. within the IPTW and IV methodologies ) were presented in a sort of general manner (intuitive). Which is obviously not a fault of the instructor and is due to the strong research nature of these topics. Personally, I can't think of presenting, for instance, 2SLS or insights on IPTW in more detail within a crash course. Perhaps, increasing the number of weeks to 6 or 7 in order to include more detail on, e.g. 2SLS would be a good idea. What definitely helped to make up for those missed details is the practical examples parts with R. Keep up the good job!
By Marko B
•Oct 12, 2019
Clear course most of the time and a very interesting subject. The teacher covers the concepts from many angles: conceptual understanding, math, examples and R code. I like how there is little "fluff", you learn a lot for the time given and I don't feel any of the concepts covered are unnecessary or esoteric. The only negative is that the course could've benefited from more practical assignments. There are 2 R code assignments: could've been more. I was thinking about giving it a 5 or 4 stars and decided on 4 in case a non-perfect score actually makes the instructor improve the course.