Data Visualization Design

Design charts that tell the truth. Master clarity, minimize clutter, and choose the right visualization for complex data sets.

Data visualization is the intersection of analysis and design. This course teaches the principles of information design. You will learn to choose the correct chart type (Bar vs Scatter vs Sankey) for your data. Master the art of reducing 'chart junk' to focus on the data-ink ratio (Tufte's principles). We cover designing for dashboards, color scales for quantitative data, and accessibility in charts. Essential for designers working in Fintech, Healthtech, or Analytics.

✅ 100% Free & Lifetime Access

⏱️ 5-Minute Lessons (Bite-sized learning)

🚀 21-Lesson Path (Independent modules)

📱 Mobile Friendly (Learn anywhere)

Data Artist

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Complete Course Syllabus

1

Chart Selection

Comparison, Distribution, Composition, and Relationship maps.
2

De-cluttering

Removing gridlines and unnecessary labels.
3

Color for Data

Sequential, Diverging, and Categorical palettes.
4

Dashboard UX

Layout hierarchy for complex monitoring tools.
5

Interaction

Designing tooltips, filtering, and drill-downs.

Estimated completion time: 21 lessons • Self-paced learning • Lifetime access

Career Outlook

Estimated Salary

$110k - $150k

Career Paths

Data Viz Designer $115k-$160k

Dashboard Designer $100k-$145k

Information Designer $95k-$140k

What You Will Learn

Select the appropriate chart type for specific data relationships

Apply data-ink ratio principles to reduce visual clutter

Design accessible color scales for quantitative data

Create dashboard layouts that tell a coherent story

Prototype interactive visualizations for D3.js implementation

Skills You Will Gain

Information Design Data Analysis Dashboard Design D3.js Concepts Visual Storytelling

Who Is This For

UI Designers

Data Analysts

Information Designers

Prerequisites

Visual Design

Data literacy