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.

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.

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!

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.

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.

Realmente un curso muy practico para aprender sobre todas las herramientas y librerías que ofrece Python para la visualización de datos.

Recomendado

The course is made in very simple language, anyone can learn from this course. The most amazing part of the course is Lab. Love you IBM & COURSERA

the teacher of this course has made great designs and offered rich resources to students. I personally like his teaching style a lot. thank you!

Amazing challenge for enthusiastic learner, i would definitely reference the course materials several times more just for its depth. Thank you.

The course is brief and to the point and is providing you with great practical work to get a hands-on practice to make you ready for the world.

Very clearly explained and lab is excellent. Like the style of providing description of datasets used in each lab. Thanks a lot to instructor.

Nice course. It is short video, but well-composed ones. I love labs, it focuses on key points of visualization. I learned a lot here. Thanks!

Thanks for IBM for providing these courses and the content of the material is good for who coming from different domain can also do easily.

Detailed explanation in the lab section on how to implement each visualization tool to better understand its use case in various scenarios.

Great course. Demonstrated some great techniques on representing data in an informative way. Will definitely use the learnings in future.

Excellent class - only problem was one of the map types available in the labs are no longer available open-source. Challenging project.