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.

Few small hiccups with the training videos and quite a few in the lab-excercise

It ok. Some parts of the course were bare bone. I liked the hands on sections.

Overall I felt it was not broken down very well and seemed confusing at time.

Videos are nice but they are mistakes in the notebooks that disturbs learning

The lab is disconnected every so often that can't complete it smoothly.

Good content, but lots of typos. The outsourcing is extremely evident.

This course focus on very important subjects but in a sketchy aproach

Lots of bugs and errors. No instructors reply on the discussion forum.

Could have been more detailed....Important concepts just brushed thru

This course needed to be updated it lacks a lot of important basics

The practical lab having technical issue .PDF is not downloadable.

Could use some better mathematical description of the techniques.

Useful course, but the IBM online platforms are not working well.