After completing this course, students will be able to:

• Design and create statistical graphics using the basic principles of visualization.
• Conduct exploratory data analysis using various tools.
• Critically evaluate visualizations and suggest improvements and refinements.
• Design and evaluate interactive visualization tools.
• Create web-based interactive visualization. 

• Review of R based programming
• Foundations of data visualization
• Data management for visualization
• Basic visualization plots
• Interactive charts
• Visualizing spatial patterns
• Introduction to Tableau
• Interactive spatial patterns-advanced maps
• Introduction to R Shiny
• Visual exploratory analysis with Shiny Dashboard
• Dynamic visual designs in Shiny
• Process visualization

Click here for example syllabus