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Learner Reviews & Feedback for Applied Plotting, Charting & Data Representation in Python by University of Michigan

5,757 ratings
979 reviews

About the Course

This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The 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 learners to identify when a particular method is good for a particular problem. The course will end with a discussion of other forms of structuring and visualizing data. This course should be taken after Introduction to Data Science in Python and before the remainder of the Applied Data Science with Python courses: Applied Machine Learning in Python, Applied Text Mining in Python, and Applied Social Network Analysis in Python....

Top reviews

Jun 26, 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 ..

May 13, 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.

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801 - 825 of 963 Reviews for Applied Plotting, Charting & Data Representation in Python

By Richard B

Sep 5, 2018

Good background - some of the presentations (such as on seaborn) are rushed

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 Jeffrey D 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 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.


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.

By Qiyu L

Feb 5, 2018

Somewhat easier compared to other courses in the pack.


Jan 15, 2018

A fun course, well-taught and with some lovely charts.

By Nuno d S

Jun 29, 2017

Very nice course, however It could cover more topics.

By Prathamesh P

May 31, 2017

Lecture videos were a little difficult to understand.