Staff at NIH frequently need to select an appropriate visual format to communicate data, but how do you choose the format of the visual? Spreadsheets and large tables can be complex, difficult to decipher, and present barriers to extracting valuable information from an organization’s data. Applying basic best practices for data visualization will allow you to identify how to graphically display data in presentations and reports to inform decision makers. In this course, you will learn basic data visualization techniques, then strengthen and practice those new techniques in a capstone exercise.
- Describe the importance of data visualization for business intelligence and decision-making
- Use psychology of perception to assess and enhance the impact of visuals for the stakeholder audience
- Use data visuals to convey distribution and relationships
- Use data visuals to convey trends in data over time
- Identify purposes and uses of data visualization for the organization
- Compare and contrast performance measurement data using effective data visuals
- Construct effective data visuals to solve workplace problems
Audience: NIH staff with a basic understanding of MS Excel who want to explore how to enhance using data for visual presentations.