I had a hard time with the quizzes in the fourth week and could not find help in the given information. But i really enjoyed the focus on correct notation

There should be more discussion in the video lectures to how these topics relate to real world data science scenarios to apply the mathematical concepts.

The probability module, i.e. Chapter 4, was explained very obscurely and I needed to spend extra time looking for information to understand the concepts.

First 3 weeks were quite easy and everyone will get it but for the 4th week concepts are not explained properly and very tough problems added for quiz

Overall it's a good one. In Math part I liked it a lot but in Stat I think Prof should explain a bit more in depth and the content is not good enough.

I really enjoyed the course, but I really would have appreciated more example problems and their solutions, particularly in the probability section.

I would like to see more useful tools like Excel, real world examples, practice exercise. Weeks 1-3 were great, Week 4 module needs some real work.

I expected more from the course, like better presentation (slides or something like that) and the first 3 weeks are much more basic than I expected

Quizzes are way more difficult and different than what was taught in the lecture videos and readings. (This apply the most to the last week module)

Explanations for last two modules are somewhat confusing. I had to consult other materials and read discussion forums in order to understand.

This is a review course. If you're learning these concepts for the first time it will be difficult as the pace and depth are not on point.

Extremely basic at start and then ramp up too fast. Videos of the 3rd and 4th week were poorly descriptive and add little or no concepts

Modules 1-3 were great. But the 4th module on probability was not only very difficult but I finished the course still not understanding.

The material covered was very useful for a beginner/intermediate course, however, the style of the presenters was not always very clear.

The first 2 weeks tought organized and simple but weeks 3 and 4 are getting harder and he passed through complicated concepts so fast.

pretty ok - don't know if thats the math you need for data science... The last part about probabilities was quite interesting for me.

The course was great until logarithms and probability, which were taught quickly and in a confusing manner with poor module notes.

The first 3 sections were very well done, but the last one felt very disjointed and a lot of things were not explained clearly

First two weeks are excellent but the last two are difficult to follow with little assistance to make it easier to understand.

it's the foundation for data science, but these contents are too simple. I think it's not enough for a good data analyst.

Statistics and probability part is a bit difficult to grasp.

Anything that can be done to make it easier would be great.

Probability and Function sections are too hard to understand

Exercise is sometimes so confused and seems wrong answers

a good selection of topics, but way too formula based rather than understanding based, especially in the second half.

Some of the quiz questions have mathematical errors (e.g. inside of a log cannot be negative) or are quite unclear.

I THINK MATHS PROBLEMS SHOULD BE MORE . THERE WERE LESS PRACTISE PROBLEMS . HOPEFULLY YOU WILL GET TO KNOW THIS.