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Data Storytelling and Visualization Masterclass
New
Rating: 5.0 out of 5(4 ratings)
5 students

Data Storytelling and Visualization Masterclass

Create clear charts, avoid common mistakes, and turn messy data into insights you can act on.
New
Created byMichael Mancini
Last updated 5/2026
English

What you'll learn

  • Choose the right chart for the data and message you want to show
  • Make charts easier to read using labels, colors, axes, and spacing properly
  • Remove visual clutter so the main insight is clear at first glance
  • Turn raw data into clear visuals for reports, dashboards, and presentations
  • Spot common chart mistakes and fix them with simple design principles
  • Use data visualization to explain insights and support better decisions

Course content

7 sections • 47 lectures • 2h 43m total length

  • What Is Data Visualization?4:01
  • Do You Always Need a Chart?2:38
  • The Data-Ink Ratio2:56
  • Data-Ink Ratio: Practical Example4:33
  • How Charts Encode and Decode Information3:57
  • How People Read Visuals: Part 15:01
  • How People Read Visuals: Part 26:26
  • Key Takeaways: Visualization Foundations2:11

Requirements

  • No design background or advanced technical skills are required.
  • Basic experience with spreadsheets, presentations, reports, or dashboards is helpful.
  • You can apply the lessons in Excel, PowerPoint, Google Sheets, Tableau, BI tools, or any charting tool you already use.

Description

Most charts are harder to understand than they need to be. They show data, but they do not always show the point. This course is about fixing that.

You will learn how to create charts that are clear, clean, and useful in real situations: reports, presentations, dashboards, business reviews, student projects, client work, and everyday analysis. The goal is not to make charts look fancy. The goal is to make the message easier to see and easier to trust.

We will look at what makes a chart work, why some visuals confuse people, and how small design choices can change the way data is understood. You will learn how to choose the right chart type, use labels and colors properly, clean up clutter, highlight the important insight, and guide the viewer toward the conclusion that matters.

This course is practical and tool-independent. You can apply the ideas in Excel, PowerPoint, Google Sheets, Tableau, Power BI, or almost any charting tool. The principles stay the same.

By the end, you will be able to turn messy data into charts that people can actually read, understand, and use for better decisions.

This course is for analysts, students, consultants, managers, marketers, dashboard builders, and anyone who needs to explain data clearly. No design background is needed.

Who this course is for:

  • Anyone who works with data and wants to present it more clearly.
  • Analysts, students, consultants, marketers, managers, and business professionals who create charts for reports, slides, or dashboards.
  • People who want their charts to look cleaner, communicate faster, and help others make better decisions.
  • Beginners and intermediate learners who want practical visualization skills without complicated theory.

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