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

I had a good idea of basic statistical plots, but this course actually shows you how to make them attractive and effective for presentations and reports.

Lots of in-depth labs. However, final assignment required some techniques that were not covered at all, so the difficulty was much higher than expected.

A very good course! The Jupyter Notebooks are structured perfectly to follow the steps and action without difficulties. Had a great learning experience!

Thanks for the well-explained and comprehensible introduction to Data Visualization with Python. The best thing about this course was the lab sessions!

Good Course to understand the topics of data visualization and dashboard creation using Python libraries such as Matplotlib, Seaborn, bokeh and Plotly

The course is designed very well and each topic is explained in easy to understand manner. Also the labs are very well designed to clear the concepts.

I liked the assignment presented by the course. I learned from solving the problems. The constant error with the lab problems discouraged me at times.

The tutorials are brilliant and very useful! Make sure to complete them and you will get an extremely beneficial intro to several visualisation tools.

Its a great course for learning visualization techniques in python. Lot of practical exercises are given with explanation of all. Enjoyed the course.

The project was well done. To be successful you have to complete the labs. The lab materials are a really good balance between practical and theory.

It's been one of the best courses I've done so far, with a great assignment project, with and excellent guidance to do correctly, fully recommended.