This comprehensive course equips learners with the skills to create, customize, and evaluate high-quality visualizations using Python’s Matplotlib library. Beginning with foundational plotting concepts, learners will identify key Matplotlib components, construct simple and multi-axis plots, and apply labeling, scaling, and annotation techniques to effectively convey data insights.
Mastering Data Visualization with Matplotlib
Mastering Data Visualization with Matplotlib
This course is part of Matplotlib: Python Data Visualization & Wrangling Specialization
Instructor: EDUCBA
Access provided by ITMO University
Gain insight into a topic and learn the fundamentals.
6 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Construct simple and multi-axis plots with labels, scaling, and annotations.
Design specialized charts including polar plots, streamplots, and pie charts.
Customize styles, axes, and figures to produce publication-ready visuals.
Skills you'll gain
Details to know
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Assessments
8 assignments
Taught in English
Recently updated!
September 2025
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This course is part of the Matplotlib: Python Data Visualization & Wrangling Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
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There are 2 modules in this course
This module introduces learners to the essential concepts and workflows of creating visualizations using Matplotlib. It covers the installation and setup of Python and Matplotlib, fundamental plotting commands, customization of simple plots, and managing figures and axes. Learners will develop the foundational skills necessary to create, modify, and interpret basic line graphs, preparing them for more advanced data visualization techniques.
What's included
12 videos4 assignments1 plugin
This module builds on foundational Matplotlib skills by exploring advanced chart types, specialized visuals, and customization techniques. Learners will work with complex plot elements such as custom line patterns, pseudocolor meshes, streamplots, ellipses, polar charts, and pie charts. They will also apply advanced styling to images, plots, and figure outputs using Matplotlib’s customization tools and style sheets, enabling them to produce visually refined, publication-ready visualizations.
What's included
15 videos4 assignments
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