Course syllabus is great. Week 1 to 3 was great with interesting material of the set theory, real numbers, basic statistics and so on are quite well explained but Unfortunately Week 4 probability is shallow and quite confusing. It lacks some real-life examples

The course is so good, I just realized how easy the basic Math is (functions, permutations and combinations, and probability). Explained so nicely and clearly. I would've given 5-star if the Bayes' theorem and Binal theorem section provides a bit more clarity.

Enjoyed the course, found week 4 to be highly difficult compared to weeks 1 to 3. Some of the notation in the quizzes are not in the proper format, making it difficult to read formulas. Otherwise, it was great. Thanks to the professors for putting it together.

I have learnt a lot from this course. Your contents are more important than the certificate but i am also felt so validated for providing the certificate. Thank you so much Coursera community as well as Duke university for the online course & i really mean it

The first week had a lot of corrections, despite that, the information was very good and the support material too. The last week module is by far the hardest, yet I feel that the test was completely fair, and it was up to me to correctly apply what I learned

I learned something new, actually a lot however it was a challenge to keep up with the scribbling. Some of the writing got confusing especially when they tried using the symbols. I may need to take it all over again to gain the confidence I need. Thanks

A well-designed refresher course. I learned the significance of different mathematical quantities, and how to realize theorems in day to day life. Also, quizzes contained questions of various types which helped to build a better approach to any question.

Week 4 was fairly difficult and could have been explained a bit better with more examples. Additionally, the second test from week 4 did not provide any feedback, which is essential to understand ones mistakes. Please rectify that for future students.

The first half is excellent. The second half, with the second teacher, is hard to follow, given that the explanations are much more theoretical, and the quizzes are harder than the videos exercises. But it helped me with basic concepts, I enjoyed it.

Although I previously studied these things I have long forgotten them or they WAY I was taught them previously was incompatible with Data Science in general. Do this course first if you want to start data science and your maths needs some work.

I have been struggling with probability till now but now my understanding of probability especially conditional probability and Bayes Theorem has improved significantly. Also, I never knew what e actually meant, which I learned in this course.

Course is simple yet difficult. It explains most of the concepts in simple way but the assignments are pretty hard to solve :) overall makes perfect foundation and provide necessary skills for data Science. More focus on derivatives will help.

Really solid course that helps you either establish new knowledge on data science and statistical skills or reinforce previous ones. 5th module is by far the hardest and really challenges you but lectures and readings notes definitely helped!

The last week is very abstract and not very well explain but the rest of the class if pretty good but i feel like i've learned superficialy math skill for ML because i didn't see the intergral, funtional analysis, linear algebra in depth etc.

Quite interesting. Some of the quizzes have questions with "tricks". Questions should be straightforward, IMO, so that it's the content of the course, not intepretation skills, that are subject to evaluation. All in all, extremely worthwhile.

I leaned a lot especially in probability. But I had to search around various other resources before I got the hang of Bayes theorem. Also a tree diagram approach to both conditional and Bayes theorem will help get to the understanding faster.

Some section are easy to understand, but some others not. Especially in the probability & bayes theorem section. This section is like compressing hours of lecture into 30 mins video. For advice, maybe it is necessary to add more example.

The learning curve was a little bit unbalanced. I think would be better to spend more time with probabiliy instead simple cartesian concepts. Besides I miss for sure linear algebra since the course its called Data Science Math Skills.

I enjoyed this course and would have given it 5 stars if it were not because of the material in Week 4 and how poorly it was explained. Apart from that, great class to take if you have not reviewed relevant math concepts in a while.

this is my first experience with coursera. I think that this course could have included better resouces and at times the explanations were confusing especially in the probability section. Overall, a positive experience. thanks

Great introduction to mathematical analysis and probability. I took it to refresh the concepts I had learned some years ago and it met my expectations. The quizzes, particularly the ones in weeks 3 and 4, are quite challenging.

I am very satisfied with this course, it provides me with the basic knowledge of the math of Data Science. The lecturers explained very carefully although the knowledge was not too difficult. I will recommend it to my friends.

This course helped me to understand probability better than the classes that I took in high school and college. I have greater confidence in understanding data presented in medical studies. Thank you for offering this course.

Overall a good review of material I learned a while ago and introduction to some concepts I hadn't covered in previous coursework. However, the course would benefit from more and varied examples to solidify concepts covered.

It helped me to understand what I should be expecting if I want to go into the data science field. I also realized it is not as difficult as it seems if only I ma willingly to work a little harder or just do some extra work.