Select Topics in Python: Matplotlib (Coursera)

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.

Course 3 of 4 in the Select Topics in Python Specialization.

What You Will Learn

- Jupyter notebooks

- Create charts and plots

- Style and customize charts and plots

Syllabus

WEEK 1

Intro to Matplotlib

Welcome to Week 1 of the Select Topics in Python: Matplotlib course. These assignments cover the basics of Jupyter notebooks and Matplotlib, customizing a visualization, as well as box plots and histograms. The module ends with graded coding exercises.

WEEK 2

Intermediate Matplotlib

Welcome to Week 2 of the Select Topics in Python: Matplotlib course. These assignments extend the previous module by introducing line charts, area charts, scatter plots, bubble charts, pie charts, and donut charts. The module ends with graded coding exercises.

WEEK 3

Advanced Matplotlib

Welcome to Week 3 of the Select Topics in Python: Matplotlib course. These assignments cover specialized visualizations, configuring layout and presentation, and adding animations. The module ends with graded coding exercises.