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.

Thoroughly enjoyed this course, and find it super valuable!! I highly recommend this to anyone looking to build data visualization skills in Python.

Vedios are well structured and especially lab assignment composed by Dr Pooja and her co-workers are top-notch and very helpful. Hats-off to Team.

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

Recomendado

Very good entry point into data visualization using Python. Found associated labs and assignments to be very helpful in reinforcing the concepts.

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

This has been the course that I not only learned alot, but enjoyed alot as well, creating web apps and interactivity was so satisfying, loved it!

The Data Visualization with Python course was really informative and hands-on, providing an experiential learning experience with real datasets.

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!