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!

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.

Hands on is the best way for a developer to accomplish a coding course. This course forces hands on exercise which is best about this course.

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!

Excellent, the exemple and lecture are very interesting,

IMO you could have save some time not explaining the canadian dataset everytime !