This course is really great! It helps me refresh my knowledge on basic math skills and have a further understanding of how to apply these concepts in real life scenario.

It is a great course to get knowledge of some important and very basic mathematics used in machine learning. It is a well-taught course. The instructors are very good.

This should be my first most completed course on Coursera, although the last quiz overdue. Probability is hard to me, so I've learned a lot during this course, thanks!

It has really helped me understand a lot of mathematical principles, however i think the explanations of the first professor were more understandable and easy to get.

its very nice , amazing course

i have cleared my many concepts

requesting you to explain few more examples on joint probability and based on probability topic.

thank you

Started from basic stuff but when things were getting interesting, the course got completed. Wish a few more topics should have been included in the probability topic

It is a course that led me to understand these topics from basics although I had studied all this but here it gives another dimension to my understanding. Thank you!

The lecturers were very clear when they explained the concepts and it was very easy to understand. Especially how the lecturer approached Bayes theorem was spot on.

even though I have had some background before the course, I took this course as a refreshment and it definitely helped me a lot especially week4 with Bayes theorem.

Very helpful and interesting. I truly loved this course and I believe this gonna help me in my upcoming future.. Thank you so much for such an adorable opportunity.

Really Really very interesting from the beginning till the end. Instructor videos are excellent. Thank you so much and waiting for these kind of courses in future.

Its one of the amazing course where i accomplished a great sense of Data Science with Maths.

Many Thanks to Duke University and Prof. Daniel Egger and Paul Bendich.

Very well explained concepts. The probability portion was the best. Baye's theorem & Binomial theorem were very interesting. I had a very nice learning experience.

I haven't taken a formal math class in almost a decade, and this was a very "gentle" welcome-back to the quantitative realm :) thanks to the team behind the magic

The quizzes were tough and challenging. Overall the course curriculum is outstanding. Thank you Coursera and Duke University for providing such wonderful course.

It is an excellent course to bring back all that school and university Math:) Great examples, learning materials and training tests! Many thanks to the authors!

It was very good experience. But certificate reciveng is a very difficult process. I completed my first course but I didn't received my course certificate yet.

Best knowledge given by Professors with detailed real life examples. It was an amazing experience by learning from the Professors of renowned Duke University.

The course was very helpful in giving the detailed basic math required for Data Science.

The concepts are explained nicely and one can easily understand them.

Both professors made this course extremely easy to follow. The first three weeks were good review to refresh my memory, and I learned a lot in the last week!

This course is exceptionally very good. The way the professors helped me to grasp the concept was amazing. They taught from basics and cleared all my doubts.

This course is really helpful for data science (not only) other students can also learn this. The content of this course is very good and easy to understand.

I am a high school sophomore and I loved this course. I learned so much in a short period of time. Now I want to go into data science as a career. Thank you!

This course provides very basics about some of maths concepts and I became able to recall those basics and learnt how to apply these concepts in daily life.

The readings that come with the video's are a must; extremely helpful. I needed this course to cope my mathematics skills which I took a break for 3 years.