Course Description
It is becoming more common to present data in a visual way to engage audiences with what the data is saying. To ensure the audiences understand what is being presented, effective data visualizations need to be created, and this all starts with knowing who your audience is and what your data is all about. In this course, you'll learn the essentials of creating great data visualizations and how to use different forms of data visualizations.
Learning Objectives
Introduction
- start the course
- describe what data visualization is
- distinguish between data visualization audiences
- describe the traits of good visualization and perception
- use the data being visualized to provide meaningful information
Design
- identify the difference between data visualization and infographics
- distinguish between the different types of visualization techniques
- identify the types of interactivity and if they are required in the data visualization
- describe designing good narratives to go with the data visualizations
- identify what is a good data visualization design and a bad data visualization design
Visual Display
- determine the usage for different illustrations and icons
- design and determine the position, size, color, contrast, and shape for the data visualization
- create the appropriate scale for the data visualization
- create the appropriate legend and source usage
Charts
- identify different types of graphs and charts and when to use them for the best results
- identify hierarchical data charts and when to use them for the best results
- identify different types of maps charts and when to use them for the best results
- identify more advanced graphs and charts and when to use them for the best results
- identify what a dashboard is and when it should be used to present data visualizations
- identify when to add animations to the data visualizations for best results
- identify when, where, and how to add text for context to data visualizations
Build a Design
- use best practices to start designing a draft of a data visualization
- use best practices to add effective visuals and text to a draft of a data visualization
- use best practices to add functionality and color to a draft of a data visualization
Practice: Design Data Visualizations
- use best practices to create meaningful data visualizations