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Learner Reviews & Feedback for A Crash Course in Causality: Inferring Causal Effects from Observational Data by University of Pennsylvania

4.7
stars
568 ratings

About the Course

We have all heard the phrase “correlation does not equal causation.” What, then, does equal causation? This course aims to answer that question and more! Over a period of 5 weeks, you will learn how causal effects are defined, what assumptions about your data and models are necessary, and how to implement and interpret some popular statistical methods. Learners will have the opportunity to apply these methods to example data in R (free statistical software environment). At the end of the course, learners should be able to: 1. Define causal effects using potential outcomes 2. Describe the difference between association and causation 3. Express assumptions with causal graphs 4. Implement several types of causal inference methods (e.g. matching, instrumental variables, inverse probability of treatment weighting) 5. Identify which causal assumptions are necessary for each type of statistical method So join us.... and discover for yourself why modern statistical methods for estimating causal effects are indispensable in so many fields of study!...

Top reviews

JC

Nov 20, 2020

A high quality course that delivers what it says in the title. Well-paced introduction to the potential outcomes framework, with a nice balance of theoretical and practical aspects.

YS

Nov 13, 2024

This is a great course to me! This course really helps me have a better understanding of what constitutes causal effects. I really appreciate him for this course!

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176 - 182 of 182 Reviews for A Crash Course in Causality: Inferring Causal Effects from Observational Data

By Enrique O M

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Sep 4, 2021

Good content. But irregular assignments, most with no feedback. Moreover some exercises could have errors, or at least ambiguous enunciates.

By Kasra S

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Aug 14, 2021

I think there are parts in the course where further discussion is needed.

By Ignacio S R

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Apr 30, 2018

The course is ok, but not having access to the slides is very annoying

By L L

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Nov 5, 2024

good material, but lecturer is not very engaging

By Francisco P

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May 30, 2019

Hard to understand

By Quantum S

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Sep 1, 2025

There is an error in the assignment submission. I always get the same score 75% regardless of my answer and intentionally made everything wrong, still the same! and cannot move forward as the passing score is 80%

By Eva Y G

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Sep 28, 2019

Can not download slides which make the source material very inaccessible