Not having access to slides and materials negates any interest in proceeding with this course.

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. The second week at least has a blackboard, but then the assessment is broken.

It is impossible to learn statistics without slides in the first week.

Great course. Really interesting and condensed content. A perfect course for analysts and data scientists. I will be recommending this to a few of my colleagues.

For some reason there are no slides in week 1 but don't worry there are slides from week 2 onwards

Please add slides or some teaching aids. This course is otherwise not usable

I find it incredible that a course discussing a topic using complicated subscripted variables such as Y sub i sub Z would not use the equivalent of a whiteboard, but would instead try to communicate these concepts vocally. Using a professor who speaks in a monotone.

I am also surprised that apparently no attempt was made to make the suggested readings from the literature available on the web.

Talking head is not the best way to present for presenting such subjects.

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. This has been pointed out on this course's discussion forums, but nobody involved in the preparation of this course replies on its discussion forums.

Guy reading lectures? Give me a break. This has to be the worst course ever.

A good course. Lot's of insights on Propensity Score Matching. They show good references to those willing to read some articles. Although quick classes, exercises are easy and very practical.

I can't feel any efforts the lecturer had made to help us understand the topic.

The selection of material is excellent and the professor covers an amazing amount of ground in a handful of lectures. 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.

Topic/syllabus/reference material: 5 stars - a great intro to CI (Rubin's approach)!!

Learning material: 2 stars (talking head, slides not provided, typos).

Assessment: 1 star (not particularly engaging and full of mistakes like correct answers scored as incorrect or calculations expected to be done with data different from that provided).

In my experience, this is a course where knowledge is obtained in another way and from outside the course. Confusing and there is no proper, ethereal exposure. This is my exclusive opinion. And for me, it is very sad to take an absolutely useless course, which is why I decide to drop out so as not to waste time.

More exercises would be better!

Nice overview of topic but many quiz answers were wrong and haven't been corrected in over 5 years.

The layout of the slides is easy to lose people. There are too many errors in the quiz and no one has ever tried to correct them even though some students have been pointing them out for years.

the teaching videos are kind of boring

I

This course needs updating/a rework. The topics covered are great, but the assessment problems are out of date, sometimes wrong, or do not accept the correct answer. The ideas behind the syllabus here are exactly what I want from a mid-level/graduate intro to causal inference, but this is one of the worst courses I've ever taken on Coursera.

The course is worse than going through a textbook, the professor's explanation on most of the proofs and statements is "obviously you know this and that". Additionally, the assessment had multiple errors and vague instructions.

A talking lecturing on mathematics and statistics without any equations or slides. It's impossible to follow and the worst form of pedagogy. Coursera and Columbia should remove this course. It's embarassing.

Instructor does not use Notes, Whiteboard, etc. to demonstrate points. Written elaboration precedes verbal explanation in a statistics course!

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