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

ペンシルベニア大学(University of Pennsylvania) による A Crash Course in Causality: Inferring Causal Effects from Observational Data の受講者のレビューおよびフィードバック

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.

フィルター:

A Crash Course in Causality: Inferring Causal Effects from Observational Data: 51 - 75 / 148 レビュー

by Ted L

2019年8月24日

Well structured to provide solid understanding of fundamentals, good intuition, and a basic view of applying the covered material.

by Kin H L L

2022年3月11日

Covered from mathematical concepts to practical statistical analysis with R. A perfect course for newcomers on causal inference.

by Mario M

2020年1月12日

Great introduction. Immediately used new knowledge in current job (marketing data scientist). Recommended course to co-workers.

by JK

2017年10月24日

To those with some advanced statistics background, this would truly be helpful to catch up econometric thought processes.

by Akorlie A N

2020年12月28日

Excellent course. This course helped me to develop my intuition on some of the more abstract concepts in causality.

by Hao L

2017年8月31日

Not only good for bio stats, it has also profound impact to my understanding of a/b testing in the internet world.

by Abdulaziz T B

2017年8月11日

This is an excellent course taught by a very competent professor in a very simple to understand and intuitive way.

by Georges A

2020年12月20日

Excellent course, extremely well presented that helps clarify a lot of statistical concepts in an intuitive way.

by Minha H

2021年7月3日

Good course to review key techniques in causal inference. Would be nice to have more in-depth course in sequel.

by Deleted A

2017年11月26日

Excellent overview on causality inference and handling confounders combined with practical examples and R code.

by 朱永載

2022年7月25日

Good explanation and hands-on R practice.

Highly recommended for those working on the observational studies

by DR A N

2017年8月22日

Excellent course! Can make it longer though and cover more details and latest advances and issues :-)

by Dror G

2021年1月18日

Very enlightening. Well explained, and strikes a great balance between theory & practical aspects.

by Hidemasa O

2020年12月28日

This course is actually great. It is a basic course but it does not mean it is for an amateur.

by Huyen N

2020年5月1日

The best course on causal inference on Coursera. Lots of examples, easy to follow materials.

by Luca A

2019年9月24日

A clear and straight-to-the-point introduction to causality. I'm really enjoying the course!

by Cameron F

2019年4月5日

Good course on the over view of Causality. Not too technical, but not too light and fluffy.

by AlexanderV

2021年10月10日

Great course, nice balance between statistical theory and practical application using R

by Zhixin L

2021年1月25日

Extremely helpful for people who just started to do research on observational studies!

by Akash G

2018年6月17日

Amazing Course! Really Helpful. I would love to have a similar full-duration course :D

by Oleksandr P

2020年12月28日

Great course. It is good for broad set of people with different level of math skill.

by Ahinoam P

2020年12月27日

Great course for getting good intuitions on central concepts in causal inference

by Hortensia M

2021年4月9日

excelent!!!, this is a great course. The teacher is really good explaining.

by Elizabeth

2021年4月8日

Great intro to causality with great examples and sample R code. Thank you!

by Chow K M

2021年4月6日

Detailed explanations about the rationale and statistical methods to use.