The material is very useful, however, the second teacher is not the best...

It is more of an "appetizer" than a whole self-contained "meal".

The contents were ok, but the videos were a bit boring

Lost if it is a basic or a intermediate level course.

The materials could be more advanced for data science

last week is not good at all i didn't get it all

Probability concepts could be more descriptive.

the lectures of last week r very bad

too superficial to be usefull

1st 2 weeks were very basic.

It is too low level

Good for beginners.

Good!!

For someone with a Computer Science background at the undergraduate level, I find the contents basic. However, the intention of the course was to give a refresher for data science professionals who find the mathematical jargon frequently used in practice hard to comprehend. In this sense, the first half of the course taught by Prof. Paul Bendich were good. The second part of the course taught by Prof. Daniel Egger needs a lot of improvement in content delivery and better explanation. The quizzes on probability are challenging and enjoyable. Also, when I took the course as on March 2019, there wasn't any activity on the discussion forum. It seems there are not many students taking the course with me, and it also wasn't monitored by the course staff.

The first two weeks are good. The material is explained in a fairly intuitive way. One can easily understand the theory. It is also explained why and how a presented concept is related to data science.

The last two weeks however are to shallow and abstract in the explanations. I had to check external websites to fully understand the material. The lectures also didn't prepare me good enough for the tests. Sometimes I felt lost and the video companions also didn't really help. This wasn't the case in the first two weeks. At the end I was able to complete all tests with 100% but only because I taught the material myself with the help of external websites.

Very rushed presentation. Blows right through a lot of fundamental concepts without a deep enough explanation or enough practice material (especially in the last two weeks). I feel like completing this class will require supplementation with better instruction.

This course is very short. I've completed it in about 4 hours. Nothing was told about linear algebra, statistics, optimization. It is not enough even to learn Data Science.

Dear Professor,

Please improve your handwriting. Or at least prepare your materials using slides. It will help the students understand your information better.

This course dos not contain enough examples which needed to train and practice ,PDF is not clear enough and does not contain any problems to practice.

Thanks

Found the title of the course mis-leading! School level Math skills are taught. Found the title to be similar to "click-baits"

I enjoyed the first 2 weeks. Weeks 3 and 4 were harder to follow. Too few examples, particularly in week 4.

Too basic. Should give an example on how these math skills are used in data science.

Week 1 and week 2 are good. rest of the weeks are very fast and not clear.

Very basic course... probably won't teach you a lot of new things

Probability part is good others are elementary math