Learner Reviews & Feedback for Data Visualization with Python by IBM
About the Course
findings in an approachable and stimulating way. In this course you will learn many ways to effectively visualize both small and large-scale data.
You will be able to take data that at first glance has little meaning and present that data in a form that conveys insights. This course will teach
you to work with many Data Visualization tools and techniques. You will learn to create various types of basic and advanced graphs and charts
like: Waffle Charts, Area Plots, Histograms, Bar Charts, Pie Charts, Scatter Plots, Word Clouds, Choropleth Maps, and many m...
Top reviews
CJ
Apr 23, 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.
LS
Nov 28, 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.
1626 - 1650 of 1,908 Reviews for Data Visualization with Python
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 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 3, 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 10, 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 19, 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 23, 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