A Crash Course in Causality: Inferring Causal Effects from Observational Data に戻る

4.7
449件の評価

## コースについて

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!...

## 人気のレビュー

WJ

2021年9月11日

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.

MF

2017年12月27日

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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## A Crash Course in Causality: Inferring Causal Effects from Observational Data： 76 - 100 / 148 レビュー

by CAIWEI Z

2019年8月4日

This course is very suitable for beginners, clear and easy to understand.

by Vikram R

2018年3月14日

Great course for getting your hands dirty with some real causal methods.

by olufemi B o

2019年8月22日

The course itremendoulsy straightened my knowledge of causal evaluation

by Bob K

2018年10月16日

Well taught, easy to follow but potentially very important techniques

by Gautam B

2020年2月17日

Great intro and overview of the details of Causal Inference methods

by Rudy M P

2018年4月17日

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

by Alessandro C

2020年3月31日

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

by keyvan R

2020年9月1日

great course and practical introduction to causal inference.

by Ziyang H

2020年7月27日

A good course with detailed explanation and data examples

by Mohammed S

2020年9月4日

Excellent course in causal effect estimation. Thanks .

by Aniket G

2019年12月15日

Superb crash course for quickly getting up to speed!

by Zhe C

2022年4月21日

I learned a lot from this course! Highly recommend!

by Marriane M

2019年10月8日

Very practical for beginners in causal inference

by Min-hyung K

2017年7月1日

Thanks so much for providing this great lecture.

by Arka B

2018年5月31日

gives thorough basic intro to causal inference

by Michael S

2019年7月7日

Awesome!!! Looking forward to the next one!!!

by Tarashankar B

2020年9月8日

Detailed and excellent course on causality

by Pichaya T

2018年2月26日

Excellent courses. I gain my expectations.

by Akin A C

2021年1月3日

excellent course, very very useful!!

by Takahiro I

2017年9月26日

The best lecture series of causality

by Clancy B

2018年8月28日

no nonsense, in depth and practical

by Carolina S

2021年5月18日

A very good introduction course.

by Paulo Y C

2020年8月2日

intense and well crafted course!

by William L

2020年4月3日

wonderful course, very helpful

by Bob H

2017年10月19日

Good intro of the techniques.