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

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530 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

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.

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76 - 100 of 166 Reviews for A Crash Course in Causality: Inferring Causal Effects from Observational Data

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 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

By Jan-Willem v G

Jan 27, 2024

Great introduction. Would like to see more advanced! Great teacher.

By gautam b

Feb 17, 2020

Great intro and overview of the details of Causal Inference methods

By Rudy M P

Apr 17, 2018

I learned the basics of causality inference and want even more now!

By Alessandro C

Mar 31, 2020

Very clear, it give good intuition also for technical points.

By keyvan R

Sep 1, 2020

great course and practical introduction to causal inference.

By Ziyang H

Jul 27, 2020

A good course with detailed explanation and data examples

By Mohammed S

Sep 4, 2020

Excellent course in causal effect estimation. Thanks .

By Anne G

Sep 19, 2022

Thank for the awesome course! Learned a great deal!