Very good explanation of Sets, Sigma Notation, Cartesian plane, functions, and logarithms. But probability (last week) requires more independent learning from learners side (this is actually a very big and interesting topic)

Sometimes som expresions and explenations may confuse non american learners, but the content is amazing and its easy to learn ( Also too many videos have mistakes and some scribbles in the videos are hard to understand).

It was a good course other than the last week, which became a little bit confusing. I think it would have been better if the last parts, especially Bayes theorem, was explained more clearly. Thank you for this course.

I m very happy to complete this course .it was very interesting and brain storming course.it Will help u in every situation of maths course simple question.it was awesome and very interested course...thank u 😊🥰😍😘

Some problems and calculations of the last modules could be designed to be easier. Still, the course was great and offered an amazing recap of the basic math skills needed for statistics and data science. Thank you!

It was an exceptional course , however I felt a little more of solved example and thinking procedure on encountering a conditional probability and Bayes theorem related problem can be shown a bit more for novices

A good refresher on mathematics wrt Data Science. Concepts were very well explained.

There is a vast difference in difficulty of quizzes in first 3 weeks and week 4, with the former needing to be more challenging

He comprendido conceptos y su aplicación en temas que realmente no había comprendido la primera. El primer instructor explica con muchísimo detalle y es excelente para aquellos que necesitan reforzar las bases.

Although the instructors explain mathematical concepts in simple, easy to understand ways, there needs to be many more (real life) examples as well as practice questions with answers to solidify understanding.

The explanations by both the instructors are quite clear. However, I'm cutting one star because the difficult of the problems in the Week 4 (Probability) lectures are easy, but the ones in the test are hard.

This is a great course. I, however, believe that the sections on algebra and especially probability need more time. I believe probability needs at least two weeks as it is highly complex and very essential.

This course is very helpful. It would be a great help if more examples are provided with details on solution steps in line of solving the test questions. Thanks for providing this learning opportunity.

Es un curso, que dependiendo de tus conocimiento estadística será bien fácil, o algo tedioso. Las explicaciones son muy buenas, y es una gran herramienta de repaso de estadística para el uso de datos

the week1 and week2 makes me feel i was a child,it is too easy, but the week4 is good, the example about ball is easy to understand, I think it is worthwell to take in this course if your have time.

Weeks 1-3 were quality. Week 4 was a little sloppy in the instructional videos and less clear than in Weeks 1-3. Overall, concise refresher of various mathematical subjects useful to data science.

The content of the course as a whole is interesting as a good synthesis of basic skills, even though the content of the weeks 3 and 4 lacks of clarity compared to the content of the weeks 1 and 2.

It is very valuable course for data science learners. They provided math topics which required for data analysis. For further learning, it is very useful. Thank you for providing such great couse

Entire course material is very helpful in understanding the concepts.

Only request would be to simplify the probability section a bit more so that it can easy to understand the concepts clearly.

Great refresher and primer. The section on Probability and Bayes Theory needs a lot more support material (video and notes) as it can get tricky and abstract, especially when doing the quizzes.

Good course. The probability portion is very challenging. Dr. Eggers is a tremendous instructor, but I did not feel adequately prepared for the some of the practical application in the quizzes.

Excellent course. Among the disadvantages, I can note that I did not have enough comments on the solutions to the problems that were proposed at the time of testing. More precisely, feedback.

This course was very easy to understand, though I think week 4's context required more examples. Overall, it was a concise course for brushing up basic math skills required for data science.

Good refresher. Weeks 3 and 4 are much more difficult to follow than one and two. Part of this is due to the subject matter but also a change of teacher / and style makes it more difficult.

There are a lot of different topics in this course and I feel that more experimental examples and longer lectures that are more coordinated within the module. It was a good review, however.

Loved it! Started off easy but got a little tricky in the end with Bayes Theorem. Glad I know which data / math areas I need to brush up on for my job. Thanks, Duke University and Coursera!