Mastering Data Visualization with Matplotlib

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Mastering Data Visualization with Matplotlib

This course is part of Matplotlib: Python Data Visualization & Wrangling Specialization

Instructor: EDUCBA

Included with

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2 modules

Gain insight into a topic and learn the fundamentals.

15 reviews

7 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

15 reviews

7 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

Tools you'll learn

NumPy

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

8 assignments

Taught in English

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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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There are 2 modules in this course

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.

In the advanced modules, learners will design and differentiate specialized charts, including custom dashed lines, pseudocolor meshes, streamplots, ellipses, polar charts, and pie charts. They will manipulate figure styles, integrate image data, and modify axes properties to produce publication-ready visuals. By the end of the course, learners will be able to synthesize plotting techniques to create professional, context-specific visualizations that enhance data-driven storytelling.

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 assignments

12 videos Total 90 minutes

Introduction to Matplolip 10 minutes
Simple Graphs 6 minutes
Simple Graphs Continue 6 minutes
More on Line Graphs 9 minutes
Bar Graph 7 minutes
Scatter Graph 8 minutes
Using Text 11 minutes
Annotation in Graph 5 minutes
Basic of Pyplot 7 minutes
Basic of Pyplot Tex 9 minutes
Basic Barh and Fill 6 minutes
Complex Fill Demo 7 minutes

4 assignments Total 60 minutes

Getting Started with Matplotlib 10 minutes
Working with Basic Plot Types 10 minutes
Pyplot Essentials and Simple Enhancements 10 minutes
Graded-Foundations of Matplotlib Visualization 30 minutes

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

15 videos Total 140 minutes

Custom Dashed Lines and Bar Charts 12 minutes
Inch and cms and Color Bars 11 minutes
Demo Image 12 minutes
Pcolormesh and Pathpatch Demo 10 minutes
Creating Streamplot 10 minutes
Creating Streamplot Continue 5 minutes
Eillpise Demo 8 minutes
Eillpise Demo Continue 16 minutes
Pie Chart 8 minutes
Table Demo 5 minutes
Log Demo and Polar Demo 9 minutes
Customizing Image 7 minutes
Customizing Plot 10 minutes
Customizing Image Continue 7 minutes
Customizing Styles 11 minutes

4 assignments Total 60 minutes

Creative Chart Types and Shapes 10 minutes
Specialized Visuals 10 minutes
Styling and Customizing Plots 10 minutes
Graded-Advanced Plotting and Customization 30 minutes

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Instructor

EDUCBA

1,050 Courses 246,550 learners

Offered by

EDUCBA

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Reviewed on Jan 2, 2026

learners recommend combining course lessons with actual datasets to solidify understanding.

Reviewed on Jan 8, 2026

Nice mix of simple and complex plots. I’d recommend this if you want practical knowledge rather than theoretical depth.

Reviewed on Nov 14, 2025

Great walkthrough of Matplotlib fundamentals and advanced styling. Highly useful for data analysis work.

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