Data Visualization for Data Analysis and Analytics

Description

In this course, you will :

• Explain the significance of audience and storey in the design of visual presentations.
• Recognize Gestalt principles in visual processing.
• Contrast and contrast headline formats.
• List general guidelines for using various chart types, colours, axes, and other formatting details.
• Recognize the significance and scientific basis for guiding principles in presentation design.

Syllabus :

1. Why

• Meeting today's critical communications challenges
• Focus using the KWYs
• Understanding visual perception

 

2. Visual Communication in 12 Easy Lessons

• Using the right data
• The power of story
• Headlines bring focus
• Picking the right chart
• Exploring chart options
• Simple tips and tools for using color in data visualization
• Tips for axes, labeling, and legends
• Setting scales in data visualization
• Some thoughts about tools
• Sketching and wireframing your data visualizations
• What about leave behinds?

 

3. In Practice

• Rethinking text-based slides
• Rethinking some charts
• The power of simplification: Convincing your bosses

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