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 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.

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 lectures are really very resourceful and enlightening. I learnt so many things. I enjoyed myself while learning thanks to coursera and the instructors.

I've been having practices about probability and other resources and it has been all so clear an with a lot of examples. Thanks a lots for the experience!

Great for beginners/intermedite and course contain the most minimal (but absolute essential)requirement for data science programmers,thanks to professors

It's one of the best course I have done.The lecture and professor is just awesome ,the instructor is very efficient.Would miss the instructor's lecture.

It has been a great opportunity to refresh my math skills and enrich my knowledge , this course is highly recommended for math and Engineering Students.

The theory is explained in a very simple way which makes it easy to understand and the examples given are very relatable and eases the learning process.

It was a very good course and refreshed my basics. The quizzes very helpful and tracking progress was very easy. I am very thankful to the instructors.

All it was good! Probability was awesome assignments were not easy so I loved the week 4 section so much! Thanks, Coursera to help to upgrade my skill.

Great course, but the Bayes' Theorem bit could have been simplified a bit more and/or more examples could have been added in. Overall highly recommend.

The course is refreshing my function and probability skills, as well as adding new knowledge that is Bayes inverse conditional probability. Thank you!

Thank you for the course. It is good enough to regrow the passion of learning data science math and to go deep down in the path of machine learning.

Very informative course explained in a very clear and understanding manner. Thanks a lot for the people involved in making this course a reality.

There are resources provided with this course, that made remembering old calculus lessons and university courses a breeze! I highly recommend!

This is very amezing course for data science student . if you want professtion data science in your company then first clear u r mathemathics.