Data Visualization for Data Analysis and Analytics

Data Visualization for Data Analysis and Analytics

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. He 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.

Topics include:

  • 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, and other formatting details.
  • Understand the importance of and scientific basis for guiding principles in presentation design.

课程信息

  • 英文名称:Data Visualization for Data Analysis and Analytics
  • 时长:1小时40分
  • 字幕:英语

课程目录

  1. Moving from analysis to visualization
  2. Meeting today's critical communications challenges
  3. Focus using the KWYs
  4. Understanding visual perception
  5. Using the right data
  6. The power of story
  7. Headlines bring focus
  8. Picking the right chart
  9. Exploring chart options
  10. Simple tips and tools for using color in data visualization
  11. Tips for axes, labeling, and legends
  12. Setting scales in data visualization
  13. Some thoughts about tools
  14. Sketching and wireframing your data visualizations
  15. What about leave behinds?
  16. Rethinking text-based slides
  17. Rethinking some charts
  18. The power of simplification: Convincing your bosses
  19. Next steps

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