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Learner Reviews & Feedback for Causal Inference by Columbia University

3.4
stars
98 ratings

About the Course

This course offers a rigorous mathematical survey of causal inference at the Master’s level. Inferences about causation are of great importance in science, medicine, policy, and business. This course provides an introduction to the statistical literature on causal inference that has emerged in the last 35-40 years and that has revolutionized the way in which statisticians and applied researchers in many disciplines use data to make inferences about causal relationships. We will study methods for collecting data to estimate causal relationships. Students will learn how to distinguish between relationships that are causal and non-causal; this is not always obvious. We shall then study and evaluate the various methods students can use — such as matching, sub-classification on the propensity score, inverse probability of treatment weighting, and machine learning — to estimate a variety of effects — such as the average treatment effect and the effect of treatment on the treated. At the end, we discuss methods for evaluating some of the assumptions we have made, and we offer a look forward to the extensions we take up in the sequel to this course....

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26 - 37 of 37 Reviews for Causal Inference

By Juan J E

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Nov 7, 2023

Really bad

By Bian S

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Apr 9, 2024

!!!! very useful, professor is very professional, and course has high value!

By Vikram D

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Aug 28, 2022

A wonderful course, with very good assignments.

By Germán A

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Jan 9, 2021

Excellent!

By Kanishk k s

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Sep 3, 2024

GOOD

By CHILAKA N

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Aug 28, 2024

good

By Jéssica R

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Dec 13, 2024

The course is really good and the references are also incredible. The only thing I think could be improved is the assessment part. For some answers, I had the right number but got zero points because of rounding and sometimes I couldn't identify what was wrong. Since it's comparing exact numbers, the questions should have more clear instructions on exact rounding practices and precision.

By Tomas L

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Jun 24, 2024

The course was good, but I found the answers to the assignments to be sometimes incorrect. In the failure responses, you can sometimes see that different input values than the ones given have been used..

By Maxim V

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Apr 7, 2022

Assignments are a mess, and apparently haven't been fixed for years after multiple complaints. Otherwise a good course, although not better than the one from U of PA, which was more accessible IMO.

By Pablo A G V

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Jun 12, 2020

Great course. Really interesting and condensed content. However, It was difficult to follow lectures without any kind of reading and there wasn't any support on the discussion forums.

By Víthor R F

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Jan 16, 2020

The teacher is great, but some things could be explained more clearly. Also, there are some errors in the assignments. Other from that, totally worth it!

By Weijia C

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Jul 12, 2020

Lectures are informative, test questions practical. Whereas more delibration could be used to the writing of assessment questions and answers as there are obvious errors. Also, forum is not well-maintained leaving many questions unanswered for years.