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.
876 - 900 of 1,045 Reviews for Applied Plotting, Charting & Data Representation in Python
By Diego L
•Apr 29, 2024
Liked it a lot, and provided me examples on how to really use these techniques
By Richard H
•Jul 28, 2017
Great course. But it is very broad (and challenging) for a four week course.
By Richard B
•Sep 5, 2018
Good background - some of the presentations (such as on seaborn) are rushed
By Mashud K
•Jan 23, 2023
Good balance of theoretical knowledge in Matplotlib and applied charting.
By Jiangzhou F
•Jun 8, 2020
Only thing I don't like is the peer review part. The rest is pretty good.
By M M
•Mar 17, 2017
I found the lectures interesting and thorough yet short and to the point.
By Amine D
•Oct 13, 2019
Really good , you need to read documentation and look at your peers work
By Jose E R
•Sep 2, 2019
Excellent course. I learned plotting and data representation in Python
By Jeff B
•Oct 16, 2018
Class was OK, would have liked some discussion of Bokeh and/or Altair.
By Didac B
•Oct 21, 2020
Really useful course to master the matplotlib visualisation pacakge
By Haldankar S N
•May 6, 2020
week 3 is slightly faster as compared to other weeks of the course
By Kishan D
•Apr 20, 2020
The versions of pandas and numpy used in this course are outdated.
By Jialie Y
•Dec 29, 2017
It would be greater, if teacher can cover more API in the lecture.
By Srinivas R
•Oct 9, 2017
a quick but sparse introduction to plotting and charting in python
By Abir H R
•May 26, 2020
Should be updated with the updated pandas and matplotlib library
By Fatemeh M
•Jul 24, 2018
That was great !
Thanks all the instructors and their colleagues!
By ravi c
•Sep 21, 2021
The course helped me to perform data visualization using python.
By Fabian R
•Jun 30, 2017
Very good overview. Could have been a little bit more material.
By Manoj K K M
•Jun 3, 2018
Good course to get a feel on plotting, what is chart junk etc.
By Iván C S R
•Feb 7, 2019
Really helpful to improve skillset of visual communication.
By Alexander C
•Jul 23, 2017
Very good course. Requires a lot of work but well worth it.
By Lan Y
•May 27, 2020
Don't like to review the assignment part. Others are good
By Shuyi Y
•Apr 2, 2017
Great training in matplotlib and the plotting experience.
By VP P
•Jun 7, 2021
This was very strenuous. There are better graphing tools
By 布鲁斯然
•Jan 15, 2018
I learned something that helps with my work. Thank you.