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Introduction to Visualization Using D3.js
Gain insights into D3.js fundamentals, explore DOM manipulation, data binding, and SVG. Learn about creating maps, graphs, and network visualizations to master data-driven documentation.
4.7
53 Lessons
4h
Updated this week
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- Understand the fundamentals of D3
- Understand what SVGs are and how they work with D3
- Draw scales, axes, labels, and margins to make some basic visualizations
- Learn how to draw different charts, networks, and treemaps based on data
- Add interactivity to visualization.
Learning Roadmap
1.
Introduction
Introduction
Get familiar with D3.js for creating dynamic, interactive data visualizations efficiently.
2.
D3.js Fundamentals
D3.js Fundamentals
Discover the logic behind D3.js selections, DOM manipulation, method chaining, and data binding for dynamic web visualizations.
3.
Scales
Scales
8 Lessons
8 Lessons
Examine the essential scales in D3.js, ranging from linear to ordinal with practical applications.
4.
Drawing Basic Shapes
Drawing Basic Shapes
9 Lessons
9 Lessons
Grasp the fundamentals of creating and transforming SVG elements using D3.js for web graphics.
5.
Chart Fundamentals
Chart Fundamentals
15 Lessons
15 Lessons
Understand core D3.js chart fundamentals: design, axes, labels, margins, paths, generators, and various chart types.
6.
Network Visualization, Hierarchical Data, and Interactivity
Network Visualization, Hierarchical Data, and Interactivity
9 Lessons
9 Lessons
See how D3.js visualizes networks, hierarchical data, and enhances interactivity with tooltips.
Certificate of Completion
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Developed by MAANG Engineers
ABOUT THIS COURSE
Data visualization using D3.js has become an essential skill for developers who need to move beyond static charts and build interactive, data-driven experiences on the web. As data becomes more complex and user expectations rise, the ability to create custom, dynamic visualizations is what differentiates basic reporting from truly insightful storytelling.
I built this course from my work in intelligent systems and data-driven applications, where visualization is often the bridge between complex models and human understanding. A consistent gap I observed, even among technically strong developers, was the ability to translate raw data into intuitive, interactive visuals. Tools could generate charts, but not meaningful exploration. This course is designed to address that gap with a first-principles approach.
You’ll learn data visualization using D3.js by mastering core concepts like DOM manipulation, data binding, and method chaining, then applying them to build scalable visualizations with SVG. The course progresses into maps, graphs, and network visualizations, emphasizing how to structure and present data effectively. Developers across domains use these techniques to build impactful data products. If you want to create visualizations that users can explore, not just view, this is where to start.
ABOUT THE AUTHOR
Khayyam Hashmi
Computer scientist and Generative AI and Machine Learning specialist. VP of Technical Content @ educative.io.
Trusted by 2.9 million developers working at companies
A
Anthony Walker
@_webarchitect_
E
Evan Dunbar
ML Engineer
S
Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
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