Learner Reviews & Feedback for Data Science Math Skills by Duke University

The last week of Probability was not upto the mark and I had to study it from outside to clear some doubts. Other than that rest of the topics were well explained.

It seemed the last week course was a bit rushed and could have been extended into few more classes. Apart from this the exercises and practice quiz were very good.

It was interesting and simplified which made it more understandable except for the last classes in week 4 which didn't have enough examples for clarity. Thank you.

everything is great and sufficient for starting in data science. but please one request please do elaborate more the probability concept with excellent examples

Overall course is good. Last two graded assignments are challenging. But lectures should have more solved examples to deal with assignments.

I liked the course.

The fourth week was not specific enough and not covered entirely . Also the professor should consider using widely accepted scientific notations in probability

The second part was difficult for me because was short on examples and not as dynamic as the first two weeks. But overall I would say that was a nice beginning

Another course on how to apply Bayes-Miller to something other than coin flips and card drawings is needed. The transition to real-world problems is the issue.

the very last week was tough

beginner of data science will not understand. that probability things is really hard to understand without some basic illustration.

Good content, but the explanations will be able to improve, i know that at last week the subjects are complex, but i found better explanations in other sites.

Good as an introductory course. It got challenging by the end, but I did enjoy it. Definitely need more study to be done to be comfortable with these topics.

The initial material is very introductory but the later does get much harder. A combination of the lectures and notes provides a good coverage of the topics

From these course your basic concept of mathematics will improve and anyone can apply in these course. It is easy as non mathematics person can also learn it

Pretty decent. I could've used some clearer explanations on the statistics stuff, but that's likely due to the fact that I've had no previous exposure to it.

The lecturer and content are good. However, I don't find that the content was really useful as a separate course. It is still short and good as a refresher.

Until the Probabilty everything was great. The given info and test were even however after that information given became unsatisfactory and unexplanatory.

Its a good review of the concepts I studied in my high school but it is certainly not enough to dive right into data science after completing this course.

Very good math review but the probability lessons need improvements. I had to study probabilities from external ressources in order to pass the quizzes.

It is really amazing course which refresh my short knowlege and cleard my some of the doubts.And Great thanks to instructor who make this course amazing.

Easy to understand. Very good for beginner's. Handwriting was a little tough at times, but explained well by the instructors so it didn't hinder learning

The Last exam was very tricky and hard. I found it very interesting. Thank you for making this course. I appreciate this as well as many people like me.

They gave real life examples to explain the topics which is very good .. personally it helps me to understand the core fundamental logics of each topic.

Actually I don't know well whether these contents should be earned by video classes. But, the explanations and the passion of the instructor were great.

The course is good for beginners. Although, more emphasis could have been placed on industrial examples but still the course is a great start for anyone

an essential course for them wants to learn data science. But last week become really tough to understand, though the experience was good.

Thank you.