Data Literacy

Course Objective

All students will learn to:

Ask questions to get the right context for any analysis
Determine which metrics are important and how to analyze, visualize them appropriately
Identify common pitfalls of data analysis and visualization
Apply best practices of data visualization and storytelling

Communicate insights in a clear, simple way that tells a story to drive action.

Course Outline

What keeps the CEO up at night
Obtaining context
- Focus on the why
- Challenging assumptions
- Identifying key metrics
- Tying back to measurable business impacts
Exploratory vs. explanatory analysis
- Digging deeper in your data to find key insights
  - Finding meaning in the noise
  - Summary statistics vs disaggregated exploration
- Identifying the appropriate audience and how best to communicate to them
  - Best practices of data visualization
  - Common pitfalls of analysis and visualization
Using the 5 types of analyses
Interpreting charts in context
Interpreting summary statistics
How to make your work present itself when you aren’t there to explain it
How to present your analysis to different types of audiences