Very hard to follow, many of the maths symbols are not well explained. To little time spent on each concept and many concepts don't get a proper explanation. I had to re-learn almost every concept externally as I learnt little from the videos. Some of the lessons on khan academy are much easier to follow.

I've not found this course organized pedagogically speaking. The organization, insofar as "here is a list of stuff I'll be teaching" makes sense. But a lot of the "teaching" is ill suited for someone looking to learn with a minimal statistical background. It's incredibly frustrating and disheartening.

Terrible instruction in the videos and unclear directions. I'd avoid this course if possible, but it's required for the specialization. New videos should be shot and inspiration taken from more instructive and interesting guides, like The Cartoon Guide to Statistics by Gonick & Smith.

I really wanted to learn this stuff. I have almost no background in statistics. But the lectures didn't cover stuff with enough rigor and repetition for me to pick up much.

So I pretty much gamed the quizzes and project enough to get through the class. Rather disappointing.

Covers basic statistics (Mean, Variance, Simple Z and T tests). Not what I was expecting as Inference. Multiple testing of data is a sign of poor experimental design and should be avoided, not adjusted for. Bootstrapping is not a new idea and has been used in other fields.

Focused little on the programming side of probability, and the explanations of the material were so vague and assumed you knew so much about probability already, that I ended up using my college notes for the quizzes and projects more than the actual lecture video notes.

It is very hard for people with no previous statistics background to follow. Some key concepts are just one sentence mentioned in passing. I have to go on YouTube to learn first and come back. Then I will understand some of the things the instructors were talking about.

Do NOT recommend. Very poorly explained. Refers to some concepts without introducing, introduces others without explaining. Spends most of the time looking to the computer screen instead of toward you and reading the text instead of explaining in understandable manner.

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.