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Applied Plotting, Charting & Data Representation in Python, University of Michigan

4.5
2,581 ratings
439 reviews

About this 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

By SB

Nov 03, 2017

Loved the course! This course teaches you details about matplotlib and enables you to produce beautiful and accurate graphs.. Assignments are challanging, and helps to build a solid foundation.

By ML

Jun 28, 2017

Good course to learned matplotlib and other Graphs libraries, but the course goes further than Python and also encourages the studies to create more meaningful and beautiful Graphic views.

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428 Reviews

By Huang Laurent

Apr 11, 2019

The grading by peers system coupled with the unlocking next week lesson is really aweful. I can't change to previous session event though I worked through the first lesson fast. Everyone has the same issue on the forum but nobody dares to reply. We get no help nor assitance from the platform. This course is purely money stealing. Run away from this course as soon as possible.

By Maxwell Sarmento de Carvalho

Apr 09, 2019

Fantastic. Very useful, dense, even difficult sometimes, but worth every second spent on it.

By Nattawat Banyatcharoen

Apr 06, 2019

Great! Not too hard like the one before. Learning to use animation is the best!

By Aayush Gadia

Apr 06, 2019

Course was very well-framed. It actually covers all the possible parts of Matplotlib in a well-paced & content-rich lectures with real world problems as Assignments.

I would request my peer learners to take up a Statistics Course which will make this more clear as one can co-relate the plots & the stats behind them.

By Shashidhar soppin

Apr 03, 2019

I highly recommend this course to everyone

By Michael J O'Keefe

Apr 02, 2019

Good course, I particularly enjoyed the peer reviewed assignments, it was fun to learn the different methods that people employed.

By Hao Lu

Apr 01, 2019

Very helpful course!

By Mordechai Povar

Mar 29, 2019

Cool and very helpful.

By Ajay Singh

Mar 29, 2019

Overall good course, at few stages assignment becomes too abstract which slows the pace.

By Sarah Hagan Hudspeth

Mar 29, 2019

good course.