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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

HM

Jan 11, 2022

Beautifully designed course to grasp and utilize the knowledge gained. Also the assignments are meant to utilize real world data and practical solutions to it! wonder course, highly recommended!

AD

Aug 31, 2020

AMAZING COURSE!!!! Taught me a lot about matplotlib. Thank you Coursera for offering us this opportunity and learn something new. Amazing instructor and the assignments were well at par.

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901 - 925 of 1,046 Reviews for Applied Plotting, Charting & Data Representation in Python

By 布鲁斯然

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Jan 15, 2018

I learned something that helps with my work. Thank you.

By 刘琦宇

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Feb 5, 2018

Somewhat easier compared to other courses in the pack.

By ALISON J D

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Jan 15, 2018

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

By Nuno d S

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Jun 29, 2017

Very nice course, however It could cover more topics.

By Prathamesh P

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May 31, 2017

Lecture videos were a little difficult to understand.

By Akash K V

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May 14, 2019

good but needs to be more precise in what it conveys

By LAI H Y

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Sep 17, 2018

The essential elements of visualization with Python

By Annie G

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Jul 16, 2020

Could be more examples of advanced designs graphs

By Charles E

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Jul 5, 2020

Covered a lot of ground, but excellent material.

By Xuanye C

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Jan 15, 2020

useful course, but a little bit useless homework

By Joel

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Jun 7, 2019

Another course with excellent content from MoU.

By Nick R

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May 29, 2019

Good pace, good material and concise teaching

By Ruyang L

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Apr 16, 2018

Limited content, but still interesting course

By Mayra M

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Apr 24, 2020

Some projects were difficult to understand.

By Michael T

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Feb 6, 2019

Matplotlib is awful. Too much focus on it.

By Jakob K

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Apr 17, 2017

Peer grading worked well. Good explanations

By José L

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Apr 1, 2017

Nice material and instructor. Thanks a lot!

By Kshitij A

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May 29, 2020

Need a better explanation to codes written

By Shashi s

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Apr 3, 2019

I highly recommend this course to everyone

By Brandon M

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Oct 31, 2022

Great introduction to data visualization.

By EGAM, A F (

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Oct 17, 2019

Every Topic were discussed in clear way.

By Deep P

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Mar 5, 2018

Great course for over view to matplotlib

By Rahul N

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Apr 15, 2020

Very detailed course on plotting

By Guna P

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Jan 27, 2018

Great course! beginner friendly

By Ferdinand C

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Jul 25, 2020

Fantastic visualization course