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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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726 - 750 of 1,046 Reviews for Applied Plotting, Charting & Data Representation in Python

By 鄭旭強

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Jul 25, 2018

Great!

By g s k

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Oct 16, 2022

nice

By Shreyash

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Dec 11, 2020

great

By Kevin M

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Sep 28, 2020

Good.

By SHREYASHI D

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Sep 17, 2020

great

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Oct 5, 2018

great

By Ilya Z

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Aug 9, 2018

great

By Christopher M (

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Jul 31, 2025

good

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Apr 21, 2025

cool

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Aug 1, 2024

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Dec 31, 2021

Good

By LOUIS, J ( J

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Aug 6, 2021

Good

By Indrajit C

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Jun 9, 2021

good

By Abdikarim I S

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Nov 7, 2020

good

By Кулжумуров Д Б

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Oct 26, 2020

Cool

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Oct 19, 2020

good

By Akshay P

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Oct 2, 2020

Good

By Marlon Z R A

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Aug 26, 2020

Good

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Aug 22, 2020

good

By RAGHUVEER S D

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Jul 25, 2020

good

By Abhishek G B

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Jul 15, 2020

good

By PL A

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Jun 28, 2020

Nice

By Rajendra S

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Jun 2, 2020

good

By Hong R C

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Sep 8, 2019

good

By Pratham N

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Jul 15, 2019

Good