Linkedin Learning – Data Visualization for Data Analysis and Analytics
English | Tutorial | Size: 225.17 MB
As a data analyst, you probably already know how to build visualizations and use tools like Excel and Tableau. This course challenges you to go beyond the data, beyond the software, and start thinking more clearly and strategically about the foundations of great communication design. Bill Shander, founder of Beehive Media, focuses on the key challenges that analysts face trying to communicate complex information, and how visual communication can help. Bill takes a deep dive into important strategies for visual analysis. He then breaks down ten key components of great data visualizations-built in any program-and shows innovative ways of rethinking the slides, charts, diagrams, and dashboards you work with every day.
Learning Objectives:
• Describe the importance of audience and story in designing visual presentations.
• Identify Gestalt principles for visual processing
• Compare and contrast headline styles
• List general rules for the use of different chart types, colors, axes & other formatting details
• Understand the importance of & scientific basis for guiding principles in presentation design
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