It is a solid intermediate course to deep inside the graphical posibilities of Python.

Some of the lab exercises were not available online/was having problem accessing them.

will be good if the module can elaborate more on how to add data label as annotation.

Good course. I wish they had more details on how the layers in the Geo charts worked.

nice course but needs few improvements, screen recordings needed rather than slides.

The data processing in the assignment could align more with the examples provided.

This is a very good course! I learned a lot about data visualization with python.

Some minor issues regarding e.g. Folium installation (mentioned in Forum section)

assignments are using too many techniques which tutorial videos are not included

Provided foundational information to work with data visualizations with Python.

No proper Lab Instructions. But was a good course in terms of topics covered.

Very good course but labs contained many typos which were sometimes confusing

Very good course to learn a lot of ways to create different type of charts.

very good in explaining an introduction in data visualization with python .

Need more methodic explanations on the key functions and parameters , kwarg

There are some problems with the labs according to installation required.

The last section of advance Visualization lab could have been more better

Mmany mistakes that make the studentsd work and stress more tan required

Excellent study material and brief description of visualization concepts

the spatial analysis is new to me and want more detailed study chapters

A broad range of visualizations explained fast and straightforward.

It would be good to make another section only for seaborn or bokeh

Good enough to learn basic skills of data visualization library.

Felt like there could be more information in the last week lab.