Great refresher and primer. The section on Probability and Bayes Theory needs a lot more support material (video and notes) as it can get tricky and abstract, especially when doing the quizzes.

Good course. The probability portion is very challenging. Dr. Eggers is a tremendous instructor, but I did not feel adequately prepared for the some of the practical application in the quizzes.

Excellent course. Among the disadvantages, I can note that I did not have enough comments on the solutions to the problems that were proposed at the time of testing. More precisely, feedback.

This course was very easy to understand, though I think week 4's context required more examples. Overall, it was a concise course for brushing up basic math skills required for data science.

Good refresher. Weeks 3 and 4 are much more difficult to follow than one and two. Part of this is due to the subject matter but also a change of teacher / and style makes it more difficult.

There are a lot of different topics in this course and I feel that more experimental examples and longer lectures that are more coordinated within the module. It was a good review, however.

Loved it! Started off easy but got a little tricky in the end with Bayes Theorem. Glad I know which data / math areas I need to brush up on for my job. Thanks, Duke University and Coursera!

Well explained concepts most of the time but towards the end, things are harder, and explanations not very detailed along with quizzes that the lessons have not prepared you appropriately.

sometime the lecture is too easy to understand and after some week it goes too hard to understand even it not a hard thing but sometime the lecturer make it so hard so it can make confuse.

A great review of A level statistics which I had long since forgotten but suddenly found myself needing again. A really good balance of work through the weeks and at just the right level.

It started with very basic and gradually it lead me to work more hard and think thoroughly. Quizzes was very good and week 4 was kinda tough for me, but I managed it. It was hard but fun.

It was quite good learning online and it helped a lot to learn Mathematics, I am bit confuse that how would l use this knowledge into data science ? overall reading learning was amazing.

I like all the video lectures more and gives me more ideas to recollect the ideas.. Week 4 videos little more to be improved with other set of examples to make the concepts more clear

Course is really good for beginner who wants to start career with data. Especially is possible understand everything by video companion which explain math skills in practice exercises.

The topics were selected very useful and compact but the videos especially the colors of pen tools that was used during lesson was not suitable and it was hurting somehow to the eyes.

A dificuldade dos últimos questionários (semana 4) não condiz com o conteúdo ministrado em aula, tirando esse detalhe, o curso ajuda a relembrar conceitos de uma forma bastante clara.

I find this course really helpful with explanation of concepts and definitions. I would like the probability module to have more example exercises though. I really need more examples.

I love this course. I have gained lot's of knowledge by completing this course. I would recommend who want to develop their career in the field of data science should use this course.

Could have a little more of theory on how to solve the problems. But otherwise a good understanding of the basics of the statistical and probability maths required for Data Analysis.

I did not like the last week, I have tried to help on the forum with answers, but even me with a solid back ground in probability thinking that it must be explained in a better way

Quite useful especially the last few probability sections with a focus on Bayes' Theorem. My key takeaway was Bayes' Updation which I had hitherto ignored. Good introductory course.

Decent. Don't think a lot of this translates directly to data science but it's a good foundational math class. Probability section was the hardest because it wasn't explained well.

Overall the course is very good. Although there are some errors like a few questions in the quiz are wrong. And in the last week probability is poorly taught. Otherwise, it's good.

nice course but very introductory nothing further, a good catch for someone with very little math skills and thinking about getting him/her self ready for a career in data science