Personally, I feel that the way of sharing and teaching was assuming everyone is an expert in this subject. This course need to be reviewed to make it more suitable to various groups of profession as not everyone has the same level of mathematics background.

In general, I'm really excited about statistics, there are so many interesting and cool problems to work on, and yet, here I am, forced to do an analysis of, "The Effect of Vitamin C on Tooth Growth in Guinea Pigs."I can't make this shit up...

Seeking out supplemental material is not only helpful, but necessary. This course does not provide a foundation of knowledge for inferential statistics so much as present several equations and functions and describe how one might use them.

This course starts with the assumption that you understand all of the terminology covered and that you already have a thorough understanding of statistics and inferences. I'm sorry - if I knew all that I wouldn't be taking this module.

Poor quality audio. Monotonous lecture style with frequent inaccuracies in delivery (says one thing but actually means another). I found my motivation and performance dropped sharply in contrast to prior lectures in this series.

Very disappointing!!!!!!!too much emphasis on mathematical notations....where are the practical applications?lack of examples....it seemed more of a prose than a lecture....would not recommend to a beginner.Period

So far this is the poorest course in DS specialiation. Coins and dices all the time, Brian reads to the camera. It is just like reading a book, a very boring one. Examples from real life could boost interest.

poor course, saturated, with an instructer that uses big words and does not explain many difficult ideas, and take for granted that the leaner knows a lot of probability and statistics.

Course materials are not balanced, it is not enough information to follow conclusions. Course gives set of tools but doesn't build solid foundation and intuition about how to use them.

Quality of teaching needs to improve. The professor needs to be more enthusiastic when giving the lecture.

The course content should involve more examples to help cement the concepts.

Not a good instructor or course material

it felt like if he was trying to teach to phd candidates

I just went to Khans academy for every topic.. didnt learny anything from him..

The teatcher know so much about the topic that he can't put himself on students shoes and see that his classes are really hard to understand. Also, the audio was pretty bad.

The worst course I've ever taken.

Bad sound quality, dead discussion forums, not possible to understand material without external (not mentioned in the course) sources.

This course is very difficult to follow, not because the topics are hard or too technical but mostly due to lecturer's poor job in explaining and creating a narrative.

It's a very interesting topic but I had to rely on a text book to understand it! I struggled to understand the lectures and reconcile it back to the quizes.

The teacher does not explain clearly the concepts. I will not recommend this course to somebody interested in the subject as it is not effective to learn.

The lecturer is very difficult to follow. His teaching style is very hard if you don't already have a background in statistics. Sorry but true.

Basics of statistics are not covered. Teacher jumped into more advanced material. I must use many outside resources to actually learn this.

The content of this is mainly theoretical, and the practical part is so small compared to other courses in the same specialization.

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Very bad teacher. He seems in a hurry. Not explaining anything clearly.

Through out the idiot wasting time and money

Didn't explain things clearly, the companion book uses many inconsistent mathematical symbols which confuses me.

Not a very well-structured subject. Need to make clearer demonstrations and explanations on the theories.

The course is very difficult to comprehend..Moreover the examplanations given ar not concise and brief..

No proper meaningful explanation for the logic derived, especially in Probability, the core of stats.