Data Visualization

A complex analysis is only useful if it leads to actionable advice and is conveyed in a way that the audience can understand. This program presents best practices in data visualization to effectively communicate a story that provides practical implications of data analysis.

• Auditing
• Toolbars
• Go To special feature
• Charts
• Basic customization (lists, defaults, windows)
• Data analysis
• Pivot tables
• Statistical analysis toolpack
• Formatting
• History of data visualization- why visualize data
• Common myths about data visualization
• Edward Tufte’s principles for data visualizations
• Visualization critique
• Characteristics of a quality table
• Analytic patterns
• Practice selecting tables and graphs
• Six steps to telling your story
  
• Showing and communicating data