Learner Reviews & Feedback for Data Science Math Skills by Duke University

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.

Week 1-2 are great. Week 4 is not what I expected. The professor did not explain, just read the slide. I need to see extra video on youtube to be able to understand the topic.

Doesn't include statistics!

The combinations part and the probability part is super confusing. Had to read the from various other sources. Not a very good course to opt for.

The classes from week 1-3 were really good but the week 4 content was very confusing to learn. I had to look online to actually understand what was actually being taught.

the course was really good. I just hope that we can get more practice questions in between the lectures so that we can understand the concept more precisely and deeply.

Good course, but week 4 lecture video quality not as good as the preceding 3 weeks.

In my opinion, probability course in week 4 needs further lectures and examples.

The course would have been better if little more elaboration would have been done for the final week but nevertheless it was a wonderful course to have completed.

In lot of places formulas is not shown in tests. Last section about probability had really hard questions in tests, more examples in lessons would be better.

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

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 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.

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.

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.