This course is interesting to me and I really enjoyed the aspect of writing minimal code to generate exceptionally attractive and meanigiful geospatial maps. Thank you.

Data Visualization plays a vital role in ML. This course helps in understanding various visualization tools and plots. Nice course to know about matplotlib, folium, etc.

Course was much harder than the previous. Follow the Dash part was harsh sometimes; at the end everything worked perfectly but a lot of interpretation it was necessary

A fairly good introduction. The scripts can be a bit advanced for those who are new to Python. It's best to have the documentation open on a different tab at all times.

This course has very good topics on Data Visualization, I must appreciate the exercises in lab and the final assessment which really helps you work on real-time data.

Great overview. I really enjoyed the guided learning format of the course. It is a great 'leap-off' point to jump start building graphs/plots of data sets in Python.

Un curso muy completo y con ejemplos prácticos. El proyecto final me permitió investigar mas sobre las opciones y atributos de las librerías para construir gráficas.

Excellent ! Although most of plots that I have learnt before, the map plot with folium is very attractive to me and I have got so much new things. Thanks professor !

A great course to learn data visualization tools in Python. Although this took me nearly 2 months to complete this course, it has been a great learning experience.

Great course, shows a lot of methods and instruments for visualizing of wrapped information. Vital as part of all IBM Data Analysis course, so totally recommend.

Very practical skills learned in the lab session to visualize data, also the lecture covered quite broad spectrums of types of visualization, Highly recommended.

I love final assignment, that's too hard for me at the beginning, but it's turns out to be very easy when I figured out. I was overthinking for the condition. lol

Greate course, I learned some types of data Visualization. the lab excersice was amazing,when I imolement on assignment what I learn immaditly. Thank you so much

at first its seem we have a lot of trouble when we do practice using lab, but i turns its because we dont have pay attention to much for instruction that gived

Let's you know the methods and techniques that you can work on real-time scenarios. Final assignment will make you feel great letting you to work from scratch.

Very well designed course. Clearly explains each module how to do it and then lab exercises gives us pretty good hands-on experience on the concepts we learn.

Very good course on understanding scripting layers and artist layers, as well as going over all basic graphs and advanced graphs. It was definitely rewarding!

It's an excellent data visualization course with Python, which is supported by external tools promoting knowledge and practice of what is seen in the course.

It's an excellent data visualization course with Python, which is supported by external tools promoting knowledge and practice of what is seen in the course.

This course was presented in a way that challenged me more than other courses in this program. I was very happy to have been challenged to think critically.

The assignments carry some general templates for data visualization. Downloading jupyter notebooks of them helps me when i visualise some othe data. Thanks

Among all the other courses in IBM Data Science, I liked how this course emphasized on the practicals while giving a good idea in the videos. Thank you Sir

Lab materials are really good.. and the assignments in the course need additional research than the learning available in the course which is really good..

Really like it, the maps are not working in MS Edge, and took me a lot of time to figure out, those thinks would be great to be announced in the training.

the content is new and interesting to me personally, however some sample codes are now deprecated so you'll have to read the doc from PyPI of the package