Chevron Left
Back to Data Visualization with Python

Learner Reviews & Feedback for Data Visualization with Python by IBM

10,169 ratings
1,537 reviews

About the Course

"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data. One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions. The main goal of this Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Top reviews


Nov 27, 2018

The course with the IBM Lab is a very good way to learn and practice. The tools we've learned in this module can supply a good material to enrich all data work that need to be presented in a nice way.


Aug 13, 2020

Great course, one of the best course to get hands-on learning for Data Visualization with Python. Particularly the lap exercise, it will make you think on every line of code you write. Excellent!!!

Filter by:

1326 - 1350 of 1,532 Reviews for Data Visualization with Python

By Aman R

Jun 5, 2020

A lot of techniques have not been covered in the module even though they did show up in the final assessment.

By Henrie E N

May 29, 2020

The course content and labs are a bit light on context considering the work required in the final assignment.

By Mayank S

Feb 12, 2020

Very less detail and seaborn was not covered which is better for visualisation than matplotlib in most cases.

By Jonathon V

Apr 22, 2019

Some of the notebooks given did not function correctly, overall did not ruin the learning experience thought.

By Ismail M

Mar 17, 2021

So many boring data recap of the same table on each graph. Except Dashboard all others are waste of time

By MNejc

Jun 11, 2019

More information about Plots, charts and overall things could be provided in the videos - on the slides.

By Peter

Mar 5, 2022

quite easy to make final assignement as almost everything was prefilled. So i didnt need to think much

By Laura T

Nov 13, 2020

Sería interesante tener un proyecto más ambicioso y que tocara más tipologías de datos para presentar.

By Nicholas F

Dec 20, 2019

There were some gaps between the taught material and the final assignment. Overall, I learned from it.

By Jairo S B

May 13, 2021

The labs could be more detailed, the final project was hard to finish because there was not all info


Oct 15, 2019

most of the material explains bits and pieces. Conceptual and Fundamental knowledge is not covered.

By Ouakani A

Jan 7, 2022

So far this was the toughest course for me among all the courses in IBM Data Science Certification

By Andrew C

Mar 3, 2020

recapping the data set in nearly every video was very repetitive and didn't add any learning value


Sep 9, 2019

The final assignment is more difficult compared to what is taught in the videos and lab sessions.

By Ilia

Apr 22, 2021

Labs not working properly, you have to look for other options to complete your final assignment.

By Denis R

Jan 4, 2020

Some lab instructions and links to files do not work and no real help is provided in the forums.

By Li G

Jun 28, 2019

I like the lab work but the jupyter notebook is so low to work with creating the Choropleth map.

By Cathy C

Nov 10, 2019

The caption is very hard to save as a note sentence by sentence. They always crunch as a whole.


Jul 9, 2019

Course design could have been better.Still a good course.Had to research a lot for this Course.

By Elmedin S

Apr 4, 2020

Very interesting chapter, but the labs don't load or even when they load, they were very slow.

By Aravindan S

Dec 17, 2019

This course explains very briefly about the kinds of plots. It should have been more detailed.


Sep 6, 2020

Video lectures should be more explanatory. The rest quiz and final project were really good.

By Yong S

Sep 20, 2019

A lot of the things in the final project were not even touched upon in the course materials.


May 18, 2020

Needs lesser recaps in each one of the videos. The course could have been much shorter.

By Pampa D

Jun 10, 2020

It is a great course. I learned a lot. However there are lot of rooms for improvement.