The case study is a bit hard to follow and the explanations are bit too general.

This course needs to be updated so that the labs don't give unsupported errors.

Some summarized text support would have been useful for the final assignment.

It's good course but still need more explanations and examples to be clearer.

The assignment is not very clear. The example had better to be more iterative

It seemed a bit basic, so there´s a lot the student has to dig by themselves

a slight bit more technical than the previous two courses. Getting there ..

It could be prepared much easier. It is hard to understand for non-natives

Examples and case study in video of CHF was a bit difficult to understand.

Personally, very dull course material; please generate me a certificate.

I think that should have more information. And quizzes should be harder.

Case study should be covered in more detail. The other content is good.

This module would be more beneficial after learning basic ML concepts.

The case study was not that good, some good examples need to be added.

I'd like to see exercises where we can practice the methodology phases

This course was a bit hard and the explanations were a bit difficult

the video lectures was really fast making it difficult to understand

too much information on slides. Use more pictures for visualization.

An introductory overview of what Data Science actually is meant for.

Make this course more intuitive rather than being just all theory.

Too theortical course ,could have an eaiser case study to explain

Good Methodolgy but I feel like I need more explaination about it

Nice overview, but brushed over far too many topics very briefly.

The video narration is so boxy type, and need to be interactive.

The case study was difficult to follow and understand at times.