Felt like the first 3 weeks were pretty good but the probability section needs a lot more detailed explanations and examples to make the information clear. For those that are already OK with this subject, it's probably fine but for those that haven't had much background in probability, this part was lacking.

The first half was planned and organized. The second half seemed haphazard. Examples were a little hard to follow. Quizzes were fine and seemed to test the material presented. I have only taken three other courses (4 total) and this one seemed a little rushed and the second half was created on a whim.

First 2 weeks of the course is amazing, very good didactics. The second teacher does not use very good examples, and the thing starts to fill like old math classes, but overall is good. I will need to redo the last 2 weeks because i fill that I will not remember most of it so easy as the first 2 weeks.

Good for high level understanding of few of the concepts. But last week 4 tutorials are covered at very high level , it was quite difficult to understand probability topic without referring to other online tutorials. I wish more examples could be given in the tutorials to strengthen understanding.

The class is good. However, the second half of the class zips through concepts that need a lot more explanation than is provided. Moreover this class would benefit from an optional tutorial on how to input factorials into a calculator as the answers on the exam go to the 8th decimal place.

Some concepts have been explained beautifully, which made things easier to understand. Some concepts (probability) I earlier understood so very well, but now I am confused with the teachings from this course. I don't really like how it has been explained.

The first half is really well explained. However, the second part could be improved with a more detailed explanation rather than introducing the equation and jump straight to the problem. Also, I think the quizzes in the latter part are (too) difficult.

Concepts are not clearly explained in the video sessions. I had to seek some other you tube videos to get the concepts with clarity . Some of the Practice quiz feedback are not fully explanatory and required more outside reference to clear the doubts .

You guys need to give better practice examples and scenarios in Weeks 3 and 4. That being said, I think the courses you presented give a nice foundation. I'm going to practice on my own time finding problems of the subjects you've spoken about.

The course has issues later on - there is inconsistent notation, no provided worksheets, formula sheets, documentation, or summaries of any kind. At first this isn't a problem when the course is simple but is much more problematic later on.

As a whole: very useful review of the themes.

However:

Quite a few Latex statements spread around the quizes.

Probability could be explained a bit more thoroughly. I had to look up external sources to get a better grasp of the subject matter.

Challenging module which lacks the practical application needed to feel confident going into quizzes. I found working through the quizzes themselves more valuable than the reading material. Plan to watch, rewatch, and take good notes.

Some really good course content, but a strange mix of levels/difficulty. I have some maths background so skipped most of the videos but using the notes and quizzes I still learned some new topics (like set notation and Bayes theorem).

It was nothing new and easy for me but if you have a gap in your study and forgot whatever you had studied in your school then this course is definitely for you to learn some math skills which is important for data science.

A good review of basic math skills, however I believed the "SUM RULE, CONDITIONAL PROBABILITY AND BAYES'THEOREM should be discussed much more in the last week module with more example and exercise. The 1,2,3 week are great.

The first 2 parts(weeks) were good and easy to grasp, but the last two were a bit advanced and needed more time to handle the concepts, but overall a good course in general, get more more practice before attempting quiz

The early videos are good. The videos toward the end were not as helpful for a person new to the subject. I had to look up other tutorials on youtube to understand the material enough to pass the quiz and final test.

I feel the probability portion of the course was too quick for the material covered. Yet the quizzes for the probability section were very demanding. It was difficult to successfully complete the probability quizzes.

The class starts off very well. When it moves to the full professor, the lesson quality falls, as the lectures lack the younger professor's examples and explanations which guided the learner into the quiz material.

The first three weeks are well explained, the last week is the most difficult and the professor does not provide examples. There are many mistakes in the quizzes and this seems to be done very haphazardly.

Broad coverage of topics in a compact course. Useful for those looking for a refresher course. Could be improved by explaining where in data science the chosen topics would be relevant to provide context.

The part about baye's theprem is really hard to grasp, perhaps less equation and more diagram would be better for student to understand the concept. (for me I look at youtube for better understanding)

The course is well but the last part of the course is boring because the principal interest of the course is data analyst with explanation of smart theorem as Baye's and this is not very well explain

The course is really good until you get to the older professor. He doesn't explain the material as thoroughly and is lacking in enough examples to help you understand how to do the quizzes.

Covered the basics well, but I really struggled with the probability section and felt it could/should have been split into more sections with more examples to demonstrate the concepts.