Causal Inference
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| Rating | 2.8★ based on 8 ratings |
|---|---|
| Length | 7 weeks |
| Effort | 6 weeks of study, 3-5 hours per week |
| Starts | Jul 3 (43 weeks ago) |
| Cost | $49 |
| From | Columbia University via Coursera |
| Instructor | Michael E. Sobel |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Mathematics |
| Tags | Data Science Math And Logic Probability And Statistics |
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What people are saying
covers an amazing amount
The selection of material is excellent and the professor covers an amazing amount of ground in a handful of lectures.
talking head throwing notation
It was difficult to follow lectures without any kind of reading The first week is a throw-away, as there are no slides, just a talking head throwing notation at you.
materials negates any interest
things could be explained
The teacher is great, but some things could be explained more clearly.
insights on propensity score
Lot's of insights on Propensity Score Matching.
although quick classes
Although quick classes, exercises are easy and very practical.
explained more clearly
many superficial problems
Currently, however, there are many superficial problems with the course, including repeated errors in the quizzes and lectures that are confusing because the slides are missing.
usual coursera standards
It is a very good intro to CI with proofs and references to recent developments.However, I have to subtract some stars because the quality in material preparation of this course is not up to usual Coursera standards: for the first week there are no slides (so it's hard to follow), and some answers in the exams are not correct.
it was difficult
really interesting
Really interesting and condensed content.
score matching
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| Rating | 2.8★ based on 8 ratings |
|---|---|
| Length | 7 weeks |
| Effort | 6 weeks of study, 3-5 hours per week |
| Starts | Jul 3 (43 weeks ago) |
| Cost | $49 |
| From | Columbia University via Coursera |
| Instructor | Michael E. Sobel |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Mathematics |
| Tags | Data Science Math And Logic Probability And Statistics |
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