Learner Reviews & Feedback for Data Visualization with Python by IBM
About the Course
Top reviews
LS
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.
CJ
Apr 22, 2023
Learnt a lot from this visualization course. The one I found most interesting was making the dashboard. Although sometime the code and indentation are tedious, but this might be useful in the future.
1601 - 1625 of 1,867 Reviews for Data Visualization with Python
By Pavan T
•Sep 18, 2023
NOT AS GOOD AS OTHER IBM DATA SCIENCE COURSES WHEN COMES TO DETAILING AND EXPLANATION. IT IS OVER SIMPLIFIED.
By Aman A
•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
SerÃa interesante tener un proyecto más ambicioso y que tocara más tipologÃas 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
By PVS S
•Oct 15, 2019
most of the material explains bits and pieces. Conceptual and Fundamental knowledge is not covered.
By Seung H J
•Dec 30, 2023
It's good to cover everything in general. However, there seems to be a bit of unnecessary content.
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
By SHALINI G
•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.
By VRS
•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.
By BHAVESH Y
•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.