Chevron Left
Back to Applied Plotting, Charting & Data Representation in Python

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

4.5
stars
6,246 ratings

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

OK

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 ..

RM

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.

Filter by:

1026 - 1044 of 1,044 Reviews for Applied Plotting, Charting & Data Representation in Python

By Avi S

•

Jun 29, 2018

tough unexplained assignments

By Rahul G

•

Jul 3, 2018

Peer grading is not worthy

By Mohd S M

•

May 6, 2020

Little hard to understand

By Qiang L

•

Jan 15, 2019

Skills taught is limited.

By Camila U

•

Nov 11, 2020

This was a hard one.

By Muhammad s k

•

Oct 12, 2019

Not a defining one

By Vishen M

•

Feb 7, 2018

Good course.

By Muhammad T R

•

Jun 19, 2017

best I think

By degreeuserdf t

•

May 20, 2024

Great

By Daniel M

•

Feb 16, 2019

sucks

By Chad H

•

Apr 25, 2023

I would love to continue with the certificate, but for the life of me, I cannot muscle through so many lectures on what makes a beautiful chart.

By Lawrence F

•

Apr 24, 2024

You eventually learn something. Not a lot of help from the course.

By Rob E

•

Aug 3, 2021

The course content is good, but University of Michigan stopped answering questions and providing support for this classes so you can't get any of your questions answered. Also, they updated versions so I wasn't able to use any of my work for this course for my code portfolio.

I'd recommend avoiding this course!

By jun L

•

Jul 28, 2018

The course does provide a good guideline on evaluate a good chart. However, as a fundamental course of introduce plot in python, I don't think the course is well structured. I can't say I learn too much from this course.

By Xun Z

•

Jan 18, 2023

The assignment instructions were rubbish and the staff give answers like riddles, always say there's answer in another lead, well, where's that lead then?

By Yash J

•

Aug 10, 2021

Not a good course. Most of the topics are covered superficially just to be shown as part of the syllabus with little details.

By Zhen H

•

Aug 27, 2017

Too many jargon and all vedios is useless, he makes me feel like he is trying to show his English and Knowledge.

By Avneesh D

•

Aug 13, 2020

Ive been locked out of the course. Unable to reset my deadlines.

By Randal P

•

Nov 18, 2017

Hate the community evaluation process.