Some of the Bayes' Theorem problems could be explained better. But otherwise a very good re-introduction to math concepts that are highly relevant to Data Sciences.

Good course to start your learning off, could do with some exercises to facilitate learning along with references to more extensive materials for reading or viewing.

Its nice course to brush up basic maths. It would be helpful if you can add more topics which are required to complete data science like matrices and other concepts

It was doable for the first 3 weeks as it is a recap to me. The 4th week is a little challenging as there is probability and Bayes' Theorem. Overall, a good course!

The first 3 weeks were excellent and enjoyable, however for week 4 the material was not explained clearly and necessitated the use of external material- not ideal.

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.

Great refresher of AS level Math I did back in the day. The Final week could however have had more examples and relevant questions within the practice quizzes.

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.

This is a very good course for all statistics beginners and probability lovers. Function ,graphs and limits lessons are on efficient and understanderble way.

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.

I found this course very helpful; However, for understanding the probability part I needed to watch lots of other videos to be able to solve the problems.

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.