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Learner Reviews & Feedback for Select Topics in Python: Matplotlib by Codio

3.3
stars
12 ratings

About the Course

Code and run your first Python script with Matplotlib in minutes without installing anything! This course is designed for learners with some Python experience, and provides a crash course in Matplotlib. This enables the learners to delve into core data visualization topics that can be transferred to other languages. In this course, you will learn how to use Jupyter, generate and choose the best graphs to represent your data. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to small, approachable coding exercises that take minutes instead of hours....
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1 - 4 of 4 Reviews for Select Topics in Python: Matplotlib

By Gopal J

•

May 10, 2025

looks like author only wants to cover the topic.. There is no detailed explanation

By MauricioVelazquez B

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Feb 17, 2025

The code editor is constantly failing or having errors, which causes that you need to find multiple turnarounds for making your queries work. Also the Coding Exercises have tons of errors which causes that you fail the exercises tests, not being able to conclude with the full diplome.

By Irina G

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Sep 26, 2022

Third week is very weak, lazy, incoherent. Overall, the course could be much better with more interesting matplotlib examples.

The other course in this Specialization, about python packaging, is more rigorous and useful.

By PI

•

Jun 20, 2023

The Codio environment throwing error re kernel error. Impossible to follow the course, do the exercises, practice or grading. No support, no reply from the neither Codio or Coursera staff. Unenrolled.