It is so hard to learn the code here. I have to find other sources and many documentations.

Jason data that set for map exam can not be use or maybe there should be other way to do it

Great course to learn python to visualize data which is an important piece in data science.

Good Skills Learnt. However, some of the labs have outdated codes. They need to be updated.

very well structured and insightful, gives you a good idea of the potentiality of the tool

Lab environment loads very slowly for me, not sure why. library installation tooks ages.

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.

i did have a problem with the peer graded assignment but i quickly got that sorted

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

nice course but too many issues with malfanctions on the notebooks and workshops.

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.

the course was very good bus should explain a bit more the labs of dashboards

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