автор: Michael Noetel•
Dec 09, 2018
Content was useful for understanding causal inference in a variety of situations. Presentation was sometimes slow even on double-speed. Lectures were generally structured from abstract to concrete, which was much harder to follow than if it were presented in english first and then made abstract (Mayer, 2009).
автор: Mateusz Kobos•
Dec 07, 2018
I enjoyed the course and learned basics of causal inference. What I missed was more exercises with R in order to gain more practical understanding of the material. In particular, it would be great to have exercises where you get some dataset and your task is to calculate given causal effect and you need to come up with an approach and to execute it. This would mimic more closely problems that you encounter in practice.
автор: Wei Fan•
Nov 25, 2018
This course is quite useful for me to get quick understanding of the causality and causal inference in epidemiologic studies. Thanks to Prof. Roy.
автор: Manuel Fernandez-Moya•
Oct 21, 2018
Interesting introductory course about causality. Good "compilation" in just 5 weeks.
автор: Bob Kemp•
Oct 16, 2018
Well taught, easy to follow but potentially very important techniques
автор: Chris Chang•
Aug 29, 2018
Could use a bit more guidance on the projects, but overall a helpful course. Gets straight to the point.
автор: clancy birrell•
Aug 29, 2018
no nonsense, in depth and practical
автор: Patrick W. Dodge•
Jul 15, 2018
Excellent course. Could use a small restructuring, as I had to go through the material more than once, but otherwise, very good material and presentation.
автор: Akash Gupta•
Jun 17, 2018
Amazing Course! Really Helpful. I would love to have a similar full-duration course :D
автор: Arka Bandyopadhyay•
May 31, 2018
gives thorough basic intro to causal inference