Learner Reviews & Feedback for Applied Plotting, Charting & Data Representation in Python by University of Michigan
About the Course
course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical
measures translate into in terms of visualizations. The second week will focus on the technology used to make visualizations in python,
matplotlib, and introduce users to best practices when creating basic charts and how to realize design decisions in the framework. The third
week will be a tutorial of functionality available in matplotlib, and demonstrate a variety of basic statistical charts helping lear...
Top reviews
OK
Jun 27, 2020
its actually a good course as it starts from fundamentals of visualization to the data visualization,the assignments this course provide are exciting and full of knowledge that you learn in course ..
RM
May 14, 2020
I am going for the specialization and I know this is just the second course in it and I haven't even seen the further courses yet, but this is already my most favourite course in the specialization.
1001 - 1025 of 1,045 Reviews for Applied Plotting, Charting & Data Representation in Python
By Saman H A
•Aug 15, 2019
Materials, slides and videos were not adequate and didn't provide enough details.
There were many many typos and misleading syntax errors in lecture subtitles.
By Matthias B
•Apr 4, 2017
Pretty well structured class, but quite expensive considering very limited lectures and assignments that are mostly "find your own challenge on the internet".
By To P H
•Nov 16, 2018
All are peer-grade assignments make it very hard to finish the course fast due to the different in
session dates for different courses in this specialisation
By Marcel K
•May 21, 2019
I wish they'd update the accompanying notebooks - their versions of pandas and related libraries are several years behind at this point.
By Edgar T
•May 3, 2017
Did not like the peer-graded dynamic, and also the lectures were pretty basic, I felt that it lacked depths in some subjects.
By C
•Mar 9, 2020
Assignments are very unclear and too subjective. Have to look through the discussion forum to understand what is required.
By Mauro N A G
•Oct 24, 2021
Some of the contents need to be up to date, there are functions descroved in the course that will be obsolete soon.
By Adrià L
•Oct 7, 2021
Nice course but poor feedback. Grades are made by other alumns and some of them doesn't take it seriously.
By Pranith R N
•Jan 17, 2024
Lectures could be improved, Some of the assignments and what is taught in lectures are very divergent.
By Rodolfo G
•Jun 21, 2019
it is not as extensive as other courses in Coursera, it should try to expand a little more its content
By Leon V (
•Apr 4, 2017
Seemed more introductory, here are the tools - go have fun rather than actually teaching teaching
By Kamruzzaman T
•Jun 29, 2020
One of the best courses. However, the assignment questions lack clarity. Teaching Staff absent.
By Daniel W
•May 28, 2020
I liked the course but not so much the fact that every assessment was to be reviewd by peers
By David M
•Oct 14, 2018
Much more refined that course 1 in the specialisation. Worthwhile to practice matplotlib
By Karen Y
•Jul 30, 2017
This course gave a solid introduction to plotting, charting, and data representation.
By Isuru W
•Jul 3, 2018
This is ok. I don't think it is very structured. Homeworks are not guided well
By Richard L
•Aug 20, 2018
More technical guidance and concrete examples would be much appreciated.
By Deepalakshmi K
•Jun 3, 2019
Better than the previous one. But still very vague explanations
By Sanjay S
•Aug 11, 2020
This was a good course. I learned a lot about charting.
By Xavier P C
•Apr 20, 2020
The only course in the specialization that's worth to do
By Peter B
•Feb 10, 2018
Fine for learning matplotlib, little additional benefit
By Sylvain D
•Mar 19, 2018
Good but I feel not comfortable with peer reviewing...
By Jesús P
•Jan 9, 2018
Not so good as the first course of the specialization
By John W
•Mar 20, 2018
Solid, but not as good as Applied Machine Learning.
By Rizvaan M
•May 5, 2020
Overall a good course, but has to improve.