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.
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.
76 - 100 of 178 Reviews for A Crash Course in Causality: Inferring Causal Effects from Observational Data
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 朱永載
•Jul 25, 2022
Good explanation and hands-on R practice.
Highly recommended for those working on the observational studies
By Akshay 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 Afentoulidis G
•Aug 20, 2024
Really good content and excellent teacher. One of the best courses I've had in Coursera
By Mateus L
•Jun 11, 2024
A very didatic and complete course . I felt like atending to college classes over again
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 Yishan G
•Aug 24, 2023
Very good intro course to causality methods with R programming samples and practice.
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.
By Olufemi O
•Aug 22, 2019
The course itremendoulsy straightened my knowledge of causal evaluation
By Bob K
•Oct 16, 2018
Well taught, easy to follow but potentially very important techniques