Overview
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This course teaches business professionals who don’t create data visualizations (or who will, but are new to it) how to decipher and understand the value of charts and dashboards.
Syllabus
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Introduction
- Data visualization can drive change
- How data visualization can reveal key insights
- How data visualization can help with communication
- How data visualization can influence change
- Spreadsheet vs. timeline
- Color plus numbers = amazing data visualization
- Marginal histograms
- Preattentive attributes
- Bar charts vs. packed bubbles
- Understanding why a common and accurate baseline is so important
- The five ways in which color is used in data visualization
- Where people mess up color in data visualization
- Examples of good use of color in charts
- Why you should avoid traffic light colors in your charts
- How to create aesthetically pleasing bar charts
- Show progress with bar charts and reference lines
- How do you compare this year with last year (and maybe a few more years)?
- Scatterplots can effectively show relationships
- How summary statistics can hide what's important
- Why stacked bar charts and area charts can be problematic
- Timelines and other ways to visualize time
- Pie charts and the problems with them
- Donut charts and the problems with them
- Your turn! How would you visualize this data set?
- Keep an open mind
- Where do you go from here?
