As always, the final project always ruins good courses. LAZY design of the projects is unacceptable.

Week 4 is somewhat hard to follow - Here, an overview over the different concepts would really help

I would like to see a final project in this course. It will encourage the learners to do more work.

This course is useful, however, it is somehow dry. It could be made more engaging or less robotic.

It was okay , but the Lab environments don't run properly without some proper libraries installed.

The week 4 lab had issues with pipelines and did not function well and the final exam locked up.

Needs more information on statistical tests. Specifically, when to use one model over another.

Videos in this section could be little more descriptive. It was not in the pace of a beginner.

It was cool to see the stuff at work but I need more hands on practice to really learn stuff.

This looks good for experienced but not the best of course for beginners/intermediate level.

when it got to model development it got too complicated too fast. The first half was great.

Lots of good concepts. However, too complicated and could have been explained a bit more.

For such a important topic, it seems like the videos sped through some essential topics.

Course was worthwhile for general understanding of what can be accomplished with Python.

Exelent training to get familiar and intruducing to Python capabilities and programing

Superfacial level of Python while being not very through on the data analysis methods.

To short

Goes to fast in some aspects, the theory is completely missing in this course

Nicely thought, but I felt concepts like Decision trees, Random forest were missing

The course is too long. The material should be divided and explained more detailed.

There were many typos in the labs which made it difficult to understand at points.

very simple exercises which does not help to learn altough videos were exeptional

It's really good course i really enjoyed learning new things in data analaytics.

It was a good course but maybe a little too easy with all the prompts provided.

The course does not explain the processes enough, there should be more examples.

Too many complicated things happening at once. It is hard to digest and follow.