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.
- 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.
- 英文名称：Data Visualization for Data Analysis and Analytics
- Moving from analysis to visualization
- Meeting today's critical communications challenges
- Focus using the KWYs
- Understanding visual perception
- 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?
- Rethinking text-based slides
- Rethinking some charts
- The power of simplification: Convincing your bosses
- Next steps