Learner Reviews & Feedback for A Crash Course in Causality: Inferring Causal Effects from Observational Data by University of Pennsylvania
About the Course
Top reviews
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.
MF
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.
51 - 75 of 146 Reviews for A Crash Course in Causality: Inferring Causal Effects from Observational Data
By Kin H L L
•Mar 11, 2022
Covered from mathematical concepts to practical statistical analysis with R. A perfect course for newcomers on causal inference.
By Mario M
•Jan 12, 2020
Great introduction. Immediately used new knowledge in current job (marketing data scientist). Recommended course to co-workers.
By JK
•Oct 24, 2017
To those with some advanced statistics background, this would truly be helpful to catch up econometric thought processes.
By Akorlie A N
•Dec 28, 2020
Excellent course. This course helped me to develop my intuition on some of the more abstract concepts in causality.
By 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.
By Abdulaziz T B
•Aug 11, 2017
This is an excellent course taught by a very competent professor in a very simple to understand and intuitive way.
By Georges A
•Dec 20, 2020
Excellent course, extremely well presented that helps clarify a lot of statistical concepts in an intuitive way.
By Minha H
•Jul 3, 2021
Good course to review key techniques in causal inference. Would be nice to have more in-depth course in sequel.
By Deleted A
•Nov 26, 2017
Excellent overview on causality inference and handling confounders combined with practical examples and R code.
By DR A N
•Aug 22, 2017
Excellent course! Can make it longer though and cover more details and latest advances and issues :-)
By Dror G
•Jan 18, 2021
Very enlightening. Well explained, and strikes a great balance between theory & practical aspects.
By Hidemasa O
•Dec 28, 2020
This course is actually great. It is a basic course but it does not mean it is for an amateur.
By Huyen N
•May 1, 2020
The best course on causal inference on Coursera. Lots of examples, easy to follow materials.
By Luca A
•Sep 24, 2019
A clear and straight-to-the-point introduction to causality. I'm really enjoying the course!
By Cameron F
•Apr 5, 2019
Good course on the over view of Causality. Not too technical, but not too light and fluffy.
By AlexanderV
•Oct 10, 2021
Great course, nice balance between statistical theory and practical application using R
By Zhixin L
•Jan 25, 2021
Extremely helpful for people who just started to do research on observational studies!
By Akash G
•Jun 17, 2018
Amazing Course! Really Helpful. I would love to have a similar full-duration course :D
By Oleksandr P
•Dec 28, 2020
Great course. It is good for broad set of people with different level of math skill.
By Ahinoam P
•Dec 27, 2020
Great course for getting good intuitions on central concepts in causal inference
By Hortensia M
•Apr 9, 2021
excelent!!!, this is a great course. The teacher is really good explaining.
By Elizabeth
•Apr 8, 2021
Great intro to causality with great examples and sample R code. Thank you!
By Chow K M
•Apr 6, 2021
Detailed explanations about the rationale and statistical methods to use.
By CAIWEI Z
•Aug 4, 2019
This course is very suitable for beginners, clear and easy to understand.
By Vikram R
•Mar 14, 2018
Great course for getting your hands dirty with some real causal methods.
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