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.
By Kevin G
•Oct 18, 2020
While the classes are interesting, the course should be updated.
Folium version is 0.11 now, not 0.5 anymore, and there is lots of changes.
By Tania P
•Aug 16, 2022
The labs need to be improved. They were had to follow and there was a lot of trial and error involved in order to complete the course.
By Timothy T
•Jan 14, 2024
the course should have been divided into fundamental and advanced visualizations. there are too many tools for one course to grasp
By Lin W
•Aug 3, 2019
The course content does not sync up with the assignment, you need to self-study about many other materials to get the certificate.
By Rahardito D
•Sep 29, 2021
Data Visualization with Python Course must be used on a certain date so that it is quite distracting to the target participants
By Charles J
•Apr 14, 2020
Actually I think the final assignment part 1 is too difficult for the videos and lab courses to draw the bar plot as required.
By Pedro F
•Aug 24, 2019
Video explanations and difficulty of the assignments don't match. Unnecessary long and tedious exercises. Needs to be revised.
By Matteo E
•Aug 1, 2019
The way topics are explained during lectures are not enough deeply treated for the final assignment. It is anyway interesting.
By Spataru N
•Oct 23, 2018
Out of all IBM courses so far, I didn't like this that much. IBM should put more emphasis on teaching database transformation.
By Robert T
•Jun 23, 2019
Not all of the tutorials rendered correctly. Information was good. Would have preferred more questions throughout the videos.
By Fan B
•Jan 4, 2022
not good, many typo in the lab instructions, many times the lab wont work out, i think this issue realy needs to be fixed.
By Paweł K
•May 2, 2019
Peer grade assignment in this course is far too hard and packed with a bunch of topics not directly covered in the curse.
By Mohammad Q
•Aug 23, 2019
Great overview course, I wish if there longer videos that explains the content.. not just trying to do the lab by myself
By Ramsrinivas A
•Jan 2, 2020
Part about Maps can be some what more extensive. The Thing taught in Lesson and Assignment does not maps section alone.
By amir s
•Sep 9, 2019
In general, it was a good course.
Some of the quizzes were very much based on syntax which I don't think is very useful.
By Andrey P
•May 4, 2024
I usually enjoy IBM courses, but this one is a disappointment. The labs are of poor quality and provide little value.
By Sowmya S
•Feb 19, 2021
The course is good. However, instructions, support and details to actually help you learn and understand is useless.
By Mahmoud H
•Sep 4, 2019
The course is really good, but Matplotlib is not popular now. Plotly is trendy and more interactive than Matplotlip
By Danila M
•Aug 20, 2021
Many bugs in the practice labs and the final assignment is a way too far from the material that has been taught.
By Sokob C
•Jul 21, 2020
It was a difficult course but it could've been better if there were little short quizzes during all the videos.
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.