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Free course English Verified certificate Beginner #data science #data analysis #sql #python #data #visualization #matplotlib #plotly

Data Visualization with Matplotlib and Plotly

Learn how to turn raw data into clear charts that support better decisions. In this course, you will build practical skills with Matplotlib and Plotly, using real business examples to create static and interactive visualizations.

4.8 (5 ratings)
69 learners enrolled
427 views
30 lessons
~45 min total
Self-paced, lifetime access

What is this course about?

This beginner-friendly course teaches working professionals how to turn raw data into clear, persuasive visual stories using Matplotlib and Plotly. You will start with the core principles of data visualization, then learn how to create, customize, and present charts in both static and interactive formats. The course is practical and hands-on, using real-world business examples such as sales trends, customer segments, and performance tracking. Each module begins with a short introduction, each lesson includes key terms and takeaways, and every lesson ends with 1-2 quick exercises you can complete in 5-15 minutes. By the end of the course, learners will be able to choose the right chart for the message, build polished visuals, and explain insights with confidence.

What are the key facts about this course?

Price Free
Certificate Verified certificate
Duration 45 min
Lessons 30
Language English
Level Beginner
Exam Self-paced, lifetime access

Curriculum

6 modules · 30 lessons

1
Module 1: Data Visualization Foundations
5 lessons
  • Why Data Visualization Matters
  • Choosing the Right Chart for the Message
  • Understanding Data Types and Structures
  • Workflow for Building a Good Chart
  • Course Setup and First Python Visualization Mindset
2
Module 2: Getting Started with Matplotlib
5 lessons
  • Your First Matplotlib Plot
  • Figures, Axes, and the Anatomy of a Plot
  • Common Chart Types in Matplotlib
  • Adding Labels, Titles, and Legends
  • Saving, Sharing, and Reusing Matplotlib Plots
3
Module 3: Styling and Customizing Matplotlib
5 lessons
  • Working with Colors, Styles, and Themes
  • Formatting Text, Fonts, and Layout
  • Highlighting Key Data Points with Annotations
  • Handling Multiple Series and Comparing Groups
  • Building Professional Matplotlib Charts for Reports
4
Module 4: Plotly Basics and Interactive Charts
5 lessons
  • Getting Started with Plotly
  • Plotly Express for Fast Chart Creation
  • Understanding Interactive Features
  • Customizing Plotly Layout and Appearance
  • Exporting and Sharing Plotly Visuals
5
Module 5: Dashboards, Storytelling, and Advanced Visualization Choices
5 lessons
  • Building a Simple Dashboard Mindset
  • Combining Multiple Visuals into a Story
  • Comparing Matplotlib and Plotly for Different Use Cases
  • Making Visuals Accessible and Audience-Friendly
  • Presenting Insights with Confidence
6
Module 6: Capstone Workflow, Best Practices, and Next Steps
5 lessons
  • A Complete Visualization Workflow from Data to Story
  • Common Mistakes and How to Fix Them
  • Reproducibility and Reusable Chart Templates
  • Building a Small Portfolio of Business Charts
  • Next Steps and Continuing Your Learning Journey

Certificate of completion

After finishing this course you will unlock a verified certificate — downloadable as PDF, with a unique number and public verification link.

Each certificate has a unique verifiable link and QR code.

Frequently asked questions

Is this course free to start?

Yes. You can start learning this course for free.

Who is this course for?

This course is designed for learners who want practical, job-relevant skills and a structured path from basics to application.

Do I need prior experience?

No prior experience is required unless specific prerequisites are listed in the course requirements section.

How long does this course take?

The estimated total study time for this course is 45 min.

How does the certificate work?

After finishing this course you can download a verified certificate with a unique number and public verification link.

Learner reviews

4.8
5 ratings
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E
Emily R. Verified · 17 May 2026

Clear chart basics

I finally got Matplotlib styling.

S
Sarah M. Verified · 12 Apr 2026

The Plotly part on interactive charts was especially useful, and the sales trend example made it click fast.

C
Christopher G. Verified · 27 Jan 2026

Good intro to plotting

The business examples were helpful, especially when they showed how to customize labels and colors. I just wish there were a couple more practice datasets.

A
Andrew S. Verified · 24 Oct 2025

Practical and easy to follow

I liked how it moved from basic chart choice to presenting the final visual story. The hands-on sales trend walkthrough felt very real.

O
Olivia H. Verified · 12 Jul 2025

Learned how to make charts read better.

Learn more

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