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Lessons 1-2 Free Intermediate

Tell Stories with Data and AI

Create clear data visualizations that drive smarter decisions. Use AI to master chart selection, dashboard design, color theory, and storytelling with data.

8 lessons
3 hours
Certificate Included

Every day, people make decisions based on data they can’t see clearly. A confusing chart leads to a wrong conclusion. A cluttered dashboard gets ignored. A presentation full of numbers puts the room to sleep.

Data visualization isn’t about making charts. It’s about making data understandable. It’s the difference between a spreadsheet full of numbers and the “aha!” moment when someone sees the trend, spots the outlier, or understands why they need to act now.

This course teaches you to create that clarity. You’ll learn to choose the right chart, design for understanding, build dashboards people actually use, and tell stories that move people from insight to action. AI accelerates every step—from suggesting the right visualization to generating polished, accessible output.

The result: your data stops sitting in spreadsheets and starts driving decisions.

What You'll Learn

  • Evaluate the right chart type for any data story
  • Design clear, compelling visualizations that communicate insights
  • Build dashboards that decision-makers actually use
  • Apply color theory and design principles to data presentation
  • Create accessible visualizations that work for all audiences
  • Create stories with data that drive action

After This Course, You Can

Select the right chart type for any data story by applying a systematic decision framework instead of guessing
Design dashboards that decision-makers actually use by applying layout principles, visual hierarchy, and progressive disclosure
Apply color theory and accessibility standards to ensure visualizations work for all audiences including colorblind viewers
Tell stories with data that drive action — not just display information — using narrative structure and annotation
Add 'data visualization and dashboard design' to your portfolio — a design skill that elevates any analyst or business role

What You'll Build

Data Visualization Style Guide
Create a comprehensive visualization style guide for an organization — covering chart type selection rules, color palette with accessibility testing, typography standards, and 10 before/after redesigns showing common mistakes corrected.
Interactive Dashboard Prototype
Design a multi-view dashboard for a real business scenario — with chart selection rationale, responsive layout wireframe, color accessibility audit, and data storytelling annotations that guide viewers to key insights.
Course Certificate
A verifiable credential proving you can select appropriate chart types, design effective dashboards, apply color theory and accessibility, and tell compelling stories with data.

Course Syllabus

Prerequisites

  • Basic familiarity with data and spreadsheets
  • Interest in presenting data visually
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Frequently Asked Questions

Do I need to know coding or design tools?

No coding required. While we'll discuss tools like Python's matplotlib and JavaScript charting libraries, the focus is on principles—choosing the right chart, designing clear layouts, and telling stories with data. You can apply these to Excel, Google Sheets, Tableau, or any tool.

Is this about making charts look pretty?

It's about making charts communicate clearly. Beautiful charts that confuse people are worse than ugly charts that inform. You'll learn design principles that serve clarity first, aesthetics second.

How does AI help with data visualization?

AI helps you choose the right chart type for your data, suggest color schemes, identify the story in your data, generate chart specifications, review visualizations for clarity, and create accessible descriptions.

What tools will I learn?

The course teaches tool-agnostic principles. You'll learn to think visually and design effectively, then apply those skills to whatever tool you prefer—from Excel to D3.js.

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