Learner Reviews & Feedback for Data Visualization with Python by IBM

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.

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

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

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!

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.

Every Data Science aspirant should do this course. Very helpful and easy course to help you complete this course through full guidance.

Great course. I liked that you in this course had to do some programming on your own and make use of what I learned in earlier courses.

Congratulations Alex Aklson for this incredible course that you made. I learnt a lot! Good content, good questions and good assignment!

Excellent course, the best in the series so far. You can really see the quality and attention to detail in every lesson, lab, and quiz!

I like that the final projects requires lots of in dependent research. This help us to build skills of solving problems independently.

This course so challenge for me. If you give me discuss about how difficult of assignment. I thought this one also hard and seriously.

really nice examples and overview of the different types of plots. the last assignment was one of the best of the course series so far

An excellent course in which I have learned a lot. The course is very well structured and the professor explains the lessons clearly.