Comentários e feedback de alunos de Data Visualization with Python da instituição IBM

Video explanations and difficulty of the assignments don't match. Unnecessary long and tedious exercises. Needs to be revised.

The way topics are explained during lectures are not enough deeply treated for the final assignment. It is anyway interesting.

Out of all IBM courses so far, I didn't like this that much. IBM should put more emphasis on teaching database transformation.

Not all of the tutorials rendered correctly. Information was good. Would have preferred more questions throughout the videos.

Peer grade assignment in this course is far too hard and packed with a bunch of topics not directly covered in the curse.

Great overview course, I wish if there longer videos that explains the content.. not just trying to do the lab by myself

Part about Maps can be some what more extensive. The Thing taught in Lesson and Assignment does not maps section alone.

In general, it was a good course.

Some of the quizzes were very much based on syntax which I don't think is very useful.

The course is good. However, instructions, support and details to actually help you learn and understand is useless.

The course is really good, but Matplotlib is not popular now. Plotly is trendy and more interactive than Matplotlip

It was a difficult course but it could've been better if there were little short quizzes during all the videos.

A lot of techniques have not been covered in the module even though they did show up in the final assessment.

The course content and labs are a bit light on context considering the work required in the final assignment.

Very less detail and seaborn was not covered which is better for visualisation than matplotlib in most cases.

Some of the notebooks given did not function correctly, overall did not ruin the learning experience thought.

So many boring data recap of the same table on each graph. Except Dashboard all others are waste of time

More information about Plots, charts and overall things could be provided in the videos - on the slides.

Sería interesante tener un proyecto más ambicioso y que tocara más tipologías de datos para presentar.

There were some gaps between the taught material and the final assignment. Overall, I learned from it.

The labs could be more detailed, the final project was hard to finish because there was not all info

most of the material explains bits and pieces. Conceptual and Fundamental knowledge is not covered.

recapping the data set in nearly every video was very repetitive and didn't add any learning value

The final assignment is more difficult compared to what is taught in the videos and lab sessions.

Labs not working properly, you have to look for other options to complete your final assignment.

Some lab instructions and links to files do not work and no real help is provided in the forums.