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Master D3.js for Data Visualization

Name: Master D3.js for Data Visualization
Price: 59 USD
Author: Luis Ramirez Jr

Gain insights into creating interactive web data visualizations with D3.js. Learn about SVGs, advanced scatter plots, animations, and interactivity to transform data into meaningful insights.

5.0

95 lessons

24h

Created by Luis Ramirez Jr

What's included

95 lessons across 8 modules
6 quizzes with instant feedback
AI Tutor on every lesson

Join 3.1 million developers at

What You'll Learn

Integrate D3.js into a web project via CDN and configure UTF-8 encoding and builds
Use D3 selections to append elements and modify attributes, text, classes, and styles
Bind data with data(), enter/update/exit, and join() to add, update, and remove elements
Load and parse external CSV/JSON data with D3 fetch functions and async/await
Build scatter plots with SVG containers, margins, scales, axes, and tick/label refinements
Create heatmaps using grid layouts and color scales (linear, quantize, quantile, threshold)
Implement interactive charts with events, tooltips, transitions, and Voronoi/Delaunay hover

Learning Roadmap

95 Lessons6 Quizzes

Overview

Get familiar with D3.js essentials and mastering web-based data visualizations.

Introduction

Understanding D3 & Data Visualization

SVG Basics

Look at SVG for scalable, high-quality visualizations using D3.js.

D3 Fundamentals

13 Lessons

Examine D3.js fundamentals covering initialization, selection, data joining, transformation methods, and handling data externally.

Drawing a Scatter Plot

15 Lessons

Grasp the fundamentals of drawing scatter plots with D3.js, including scales and axes.

Scales

14 Lessons

Take a closer look at understanding and utilizing various data scales in D3.js.

Animations & Interactivity

21 Lessons

Tackle animations, interactivity, and dynamic updates in D3.js for effective data visualization.

Even More Charts!

23 Lessons

Master the creation of diverse D3.js charts, including line, pie, and stacked bar charts.

Conclusion

3 Lessons

Learn how to use D3.js for diverse visualizations and efficient editor setup.

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

About this course

WHY I WROTE THIS COURSE

In this course, you will learn to create your own interactive data visualizations for the web with D3.js, a very popular JavaScript library. Starting with the fundamentals, you'll learn about SVG, selections, classes, and styles, as well as displaying data. This will give you the base to start working with more advanced concepts. Once you’ve got the basics out of the way, you will start practicing drawing various scatter plots, where you’ll learn all the best practices for creating stunning visualizations. Lastly, you will dive into scales and one of the more fun parts: adding animation and interactivity. By the time you finish this course, you will have a powerful new library to add to your resume, and you’ll be able to transform data into meaningful insights.

ABOUT THE AUTHOR

Luis Ramirez Jr

Freelance Software Engineer Instructor. Primarily focused on teaching full-stack JavaScript applications.

Learn more about Luis

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