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.

Sometimes a little bit confusing due to the handwritings. In addition I would not expect a wrong statements/mistake in 10 minute video, sure the corrections are fine, but I would recommend to record the video again without any mistakes.

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).

O curso foi bom mas as explicações dos módulos 3 e 4 foram muito corridas e não foram suficientes para uma boa base para a realização dos exercícios. Os exercícios estavam muito mais complicados do que a explicação teórica.

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.

Had trouble with week four, I think the instructor tried to summarize Bayes theorem, but it made it vague, had to watch other videos from other sources to fully understand the concept. Otherwise it was good.

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 first sections are very good. Nice review and learned some new concepts (or at least was a refresh). The probability section is a tad weak. Could use more explanation and more examples.

Good basic review, but I would have liked more examples. (Examples did not have to be in video format, but perhaps in supplementary material.) Very much appreciated that this was offered.

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.

The second half of the course about probability theory was not explained thoroughly. Professor Daniel Egger rushed through it and did not spend much time explaining appropriate examples.

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.

I've watched all the videos and read all readings and passed the test but it still says I haven't completed module 1, can I see why, where I went wrong and what exactly I'm missing?

The course in Week 1 and 2 are quite interesting but gets challenging to the rest of the following weeks. Unfortunately it doesn't support with simple explanation by the lecturers.

Appreciate that content if free

but last part is worest part, i done first 3 week in almost 1 day and last part take along time due to ambiguous information and hard of examples