Home 浏览课程 Data Science Data Visualization with Matplotlib and Plotly
Free course English 认证证书 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
429 views
30 lessons
~45 min total
Self-paced, lifetime access

这门课程是关于什么的?

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.

这门课程的关键信息是什么?

价格 Free
证书 认证证书
时长 45 min
课程单元 30
语言 English
级别 Beginner
考试 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

完成本课程后,您将解锁认证证书 — 可下载为 PDF,附带唯一编号和验证链接。

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?

完成本课程后,您可以下载带有唯一编号和公共验证链接的认证证书。

Learner reviews

4.8
5 ratings
5
4
4
1
3
0
2
0
1
0
E
Emily R. Verified · 17 5月 2026

Clear chart basics

I finally got Matplotlib styling.

S
Sarah M. Verified · 12 4月 2026

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

C
Christopher G. Verified · 27 1月 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 10月 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 7月 2025

Learned how to make charts read better.

Learn more

Related articles for this topic

Browse all articles →

You might also like

SQL for Business Analysis 免费 证书
🇬🇧 EN 17 3h

SQL for Business Analysis

#Data Science #sql #business
4.8 (5) · 19
Python for Data Analysis 免费 证书
🇬🇧 EN 17 3h

Python for Data Analysis

#Data Science #python #data
4.3 (3) · 57
SQL from Scratch 免费 证书
🇬🇧 EN 17 45 min

SQL from Scratch

#Data Science #sql #scratch
4.6 (5) · 111
Pandas and NumPy in Practice 免费 证书
🇬🇧 EN 30 6h

Pandas and NumPy in Practice

#data science #data analysis #sql
5.0 (5) · 32