Visualizing Data Designing Informative Graphics
Just Added

Visualizing Data Designing Informative Graphics

Let's dive deep into the world of data visualization and create eye-catching graphics that tell powerful stories!

By Learning Facility

Date and time

Tuesday, July 22 · 9 - 11pm PDT

Location

Online

Refund Policy

Refunds up to 7 days before event

About this event

  • Event lasts 2 hours

Master the art of visual data design with this engaging course in creating clear, informative graphics for smarter communication.

Overview:

Data alone doesn’t speak—it needs a good designer to say something worth hearing. Visualising Data: Designing Informative Graphics is your essential guide to transforming raw numbers into meaningful, easy-to-understand visuals. Whether you're working on reports, dashboards, or digital content, this course gives you the insight to present data clearly, cleanly, and with confidence. You'll explore techniques to make information digestible, visually appealing, and useful—without overloading your audience.

From selecting the right chart types to understanding layout and colour hierarchy, this course helps you avoid clutter and confusion. You’ll learn the fine balance between form and function, ensuring your visuals always support your message. This isn’t about trendy design tricks—it’s about delivering the kind of visuals that make people stop, look, and actually understand what’s going on. Perfect for anyone who wants to turn information into impact.

Learning Outcomes:

  • Identify key principles of designing clear and useful graphics.
  • Choose appropriate data visual formats for different messages.
  • Apply colour theory to support readability and audience focus.
  • Evaluate graphic layouts for simplicity and visual hierarchy.
  • Understand how to avoid common data misrepresentation errors.
  • Communicate insights visually using data with clarity and purpose.

Who is this Course For:

  • Professionals who work with data-driven content and reporting.
  • Digital marketers aiming to improve visual communication strategies.
  • Researchers who want clearer presentation of findings.
  • Designers interested in data visual structure and storytelling.
  • Business analysts who present insights to wider audiences.
  • Educators creating instructional or academic visual material.
  • Content creators developing graphics for digital publications.
  • Anyone looking to improve clarity in data communication.

Career Path:

  • Data Visualisation Specialist – £45,000/year
  • Information Designer – £42,000/year
  • Digital Content Designer – £38,000/year
  • Data Analyst – £40,000/year
  • UX/UI Designer (Data-focused) – £48,000/year
  • Research Communications Officer – £37,000/year

Frequently asked questions

What is data visualization?

Data visualization is the process of turning raw data into visual formats like charts, graphs, or maps to make it easier to understand and interpret.

Why is good design important in data graphics?

Good design helps highlight the key message, reduces confusion, and makes the data more engaging and easier to remember.

What are some common types of data visualizations?

Common types include bar charts, line graphs, pie charts, scatter plots, and heatmaps.

What tools can beginners use to create data visualizations?

Beginners can use tools like Microsoft Excel, Google Sheets, Canva, Tableau Public, or free online chart makers.

Organized by

£11Jul 22 · 9:00 PM PDT