Learner Reviews & Feedback for A Crash Course in Causality: Inferring Causal Effects from Observational Data by University of Pennsylvania
About the Course
Top reviews
GB
Mar 11, 2021
Excellent video lectures. Challenging end of module quizzes. I found more challenging doing the practical exercises because I had no experience with R.
KS
Apr 4, 2021
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.
76 - 100 of 182 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 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