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.
1451 - 1475 of 1,889 Reviews for Data Visualization with Python
By Svetlana O S
•Jan 12, 2021
a lot of new skills
By Manikandan S e
•May 4, 2020
Very good course.
By Sergey Z
•Apr 25, 2020
Very small course
By Nick V
•Jul 28, 2023
Great course!!!
By Raj K
•Jul 8, 2018
Great course :)
By Mohammed A A A
•May 29, 2022
greate cource
By tanmoy p
•Dec 16, 2020
good content.
By Ernesto C M P
•Jan 15, 2022
good course
By Nandivada P E
•Jun 11, 2020
nice course
By Shailesh Y
•Aug 13, 2022
excelleant
By nico
•Nov 18, 2020
Very nice!
By Alex A
•Oct 14, 2020
Great Job!
By Kausar A
•Nov 13, 2022
Excellent
By Omer. K
•Sep 14, 2021
excellent
By Marcin
•Jul 21, 2020
Too easy
By Jacob J
•Aug 12, 2019
good job
By Ashutosh S
•Dec 24, 2022
good
By Venkata T
•Jun 28, 2020
Good
By SRINIVASULU B
•Jun 12, 2020
GOOD
By DEVARAMPATI M S A
•May 27, 2020
good
By Vishal A
•Apr 20, 2020
good
By KVD S
•Feb 28, 2020
good
By Veronica S
•Apr 28, 2019
Good
By Franco M V
•May 16, 2020
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By Louis
•Jan 30, 2020
I have mixed feeling about this course. I think the purpose of this course (visualizing data) and the different ways of doing it is really motivating and awesome, specially when you realize all the things you can do (types of charts , maps etc...). This is actually awesome!
However, on the down sides:
-Each video repeats the steps on how the database used in each course has been "cleaned". I agree with the feedback from other people, reminding us one or two times is fine, but in each video... This is too much!
-I would have liked more practical exercises, specially to plot multiple linear regression models (and polynomial of different degrees, in particular), to display on a chart, and to make predictions. That would be great !
-Labs: they are of unequal difficulty: some are relatively easy to complete, some require more thinking/research and time, while some have no question at all or very little. Maybe it would be useful to re-organize the labs ?...
-Week 3: as everyone mentions, the "artist layer" method is only briefly covered in one of the lab. It would have be really useful to spend more time on it, and on all the things we do with it. Like others, I spent lot of time searching online, and it took me a full afternoon to complete that part of the final assignment !
To summarize: it's a very important and interesting course, but video lessons should be re-recorded with deleting all parts repeating the initial database processing, and adding more topics such as artist layers, etc. Also, maybe split each lab in 2 since there are few labs in this course, but if we follow them correctly, it requires quite few hours to spend on each lab (at least for "beginners" like us starting learning about this topic).
Thank You !