MORE THAN JUST A COURSE
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
- Digging deeper in your data to find key insights
- 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
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