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

4.5
stars
6,278 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

A

Mar 5, 2018

Very helpful to understand what it takes to make a scientific and sensible visual. Recommended for someone who is interested in learning data visualization and does not have a background.

LS

Oct 29, 2020

Thanks for the course! Now, I can apply what I learned from here to many applications in my study/work. It's a useful course; heads up for those who wants to be able to plot charts with Python

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476 - 500 of 1,046 Reviews for Applied Plotting, Charting & Data Representation in Python

By Carlos E P P

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Aug 1, 2019

Very good course, I enjoyed it and learned a lot

By Michael S

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Jun 3, 2019

Challenging class, but really excellent content.

By SUDHAKAR M S

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Oct 21, 2017

Insightful with helpful peer graded assignments.

By NAMAN D

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Jul 5, 2020

Great course .Assignments help you learn a lot.

By Carlos V

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Apr 6, 2017

Very easy to follow and well measured workload.

By Andrej K

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Mar 27, 2021

good introductory topics, tempo, and concepts.

By F B

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Nov 18, 2017

Amazing! Could use some more smaller examples.

By Lorena G

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Jun 27, 2017

I spend most of my time after work. I like it.

By LAKHAN R S

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Apr 15, 2020

Awesome course from the view of every aspect.

By Francisco V

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Mar 30, 2017

Nice course! Great introdction to matplotlib.

By WU L

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Sep 17, 2020

Work some of the peers are not professional.

By Sriram I

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Jul 7, 2019

good course to get exposure on plotting data

By Jasper R

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Dec 21, 2018

This is a great course with a lot of insight

By abhit p

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Dec 10, 2018

A great course to learn about visualisations

By Corinne

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Feb 9, 2018

Very interesting and challenging assignments

By Eduardo S

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Mar 14, 2022

Love the content, the pace, the assigments.

By Reza B

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Jan 15, 2019

Very practical course. Highly recommended.

By Olubukunmi I

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Nov 30, 2020

Very interesting and equally challenging.

By Guillaume N

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Feb 11, 2019

Top! could be good to speak about plotly.

By Ivan S F

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Mar 5, 2019

Great course. Very helpful and hands-on.

By Maike A

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Apr 15, 2022

A complete and very intersting course.

By Erick S G P

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Sep 15, 2020

Loved the instructors and the exercises

By Aditya B

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May 20, 2020

Very well put up course and insightful.

By Alzum S

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Sep 11, 2019

Thanks to Brooks for wonderful teaching

By XL T

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May 4, 2020

getting difficult. but worth the time.