Even though I have learnt quite a bit of math in college, my basics weren't very clear. This course helped me clear up my basic doubts which were causing problems. The instructors explain the concepts quite comprehensively using easy-to-understand real-world examples.

This is a real good and inspirational start in data science education, especially for people, who have some fear of math (like me:)). This course is enough complicate to learn something new, but simultaneously not too hard, so you dont loose motivation for studying.

I had a really easy time going through the first 3 weeks of the course, but then the 4 weeks were so hard. I got through it, but it was hard. The 1st-3rd weeks were just going through the same things I had learned again, but the 4th week was almost completely new.

I think this course helped me identify certain areas of weakness within my education that I have already received. As a result, I know where to start in order to shore up the gaps that formal education has solidified. Overall it is a great introductory course.

Thank you, Coursera for this course for free. It was really helpful. It covers almost all the basic math term for Data Science. Looking now for intermediate level course of the same. Hopin that very soon, I will be gifted with a new free course. Thanks again.

Something good to learn and in fact the session are so precise to understand that you don't need anyone's help at all to learn thing. Just go through the video lectures. It's that simple. Thank you Coursera for this wonderful journey and amazing sessions.

First three weeks were mostly review, but the fourth week was incredibly helpful. Would appreciate some more background/derivation of the binomial theorem - it was hard for me to develop an intuition for it in the same way I could for the Bayesian theorem.

Clear and straightforward introduction to the key mathematical concepts that underpin statistics and data science. Video companions and practice quizzes complement the lectures in an effective way and prepare the student well for the graded quizzes.

Very good course. Really enjoyed the explanation very concise and clear. This is however not exhaustive for anyone to gather every bit of possible knowledge in Data Science, do keep that in mind. But this definitely sets the foundation correct.

Great course brushing off math skills with quiz in the end of each module. The last module is the most difficult, it'll be better if more examples be demonstrated. Good pace and a good course for those who need to get an idea of some topics.

Very informative and I learned a lot. I enjoyed taking the practice quizzes and the exams. I failed, I made mistakes yet what is the most important I learned a lot. Thank you Coursera and DOST-CARAGA, the Philippines for the opportunity.

Pretty fun and understandable. The last week resources and content was quite deep and confusing when it was explained. From the exercises I've found some errors in the solutions. Briefly, It fulfills my expectations pleasantly.

Well, except for the last quiz of probability (basic and intermediate) others were too easy, and also this course is highly recommended for the ones who really are entirely new to math concepts present in this course.

Maybe the first three chapters are a little bit easy; but the fourth chapter is challenging. This is my very first Coursera course, and I have learned a lot. Shout out to Prof. Daniel Egger and Prof. Paul Bendich!

I was looking for a math class to refresh my math skills in preparation for getting into the field of Data Science and I am very glad that I found this course. It was well taught and very clear. Thank you so much.

The course provides comprehensive basic math skills for the ones who might have forgotten all the maths they have learnt. Highly recommended for ones who wants to restart the math skills with clear intuition!

It was a good basic level course of math design by Duke University.I just say thanks to all of this course team and especially thanks to coursera for providing such a amazing opportunity to learn more skills.

If you have previous background is easier, but in Baye's theorem it was a little hard to understand it. Overall, it is an excellent course, but a little more explanations in Baye's theorem could be better.

The course was really great. You could include some more offline practice questions with solutions for better practice at least 10 for each topic. Otherwise explanations were easy to understand and follow.

A great foundation course for anybody whoose tryna find their feet in the excitng and vast world of data science,i learnt so many new things..it was truly an enriching experience.Thank you!!

My first course on Data Science and was happy to share this experience with Duke University. The course was informational, very resourceful and hopefully beneficial for my future endeavors.

Good learning overall.

Some part are pretty easy, which I remember learning in junior high,

but some theorems are hard to apply.

Now I want to use these theory in real world and data science!

I learned basic math of data science from based to Bayes' theorem. Lecturer explained material clearly and easy to understand. It helps me to start my journey in data science. Thank you.

The instructors for this course have a very calm, awesome demeanor. They are very confident and efficient in their methodology overall. This course has reawakened my desire for learning.

The course was very good and well thought of, a great refresher for very important concepts, the instructors are very good at simplifying the material and making it very understandable.