High school
Data Literacy and Applied Statistics
Data Literacy and Applied Statistics teaches grades 9-12 students to use statistics where they actually encounter it: news headlines, polls, sports data, health risk, and predictive models. Students learn to spot misleading visuals and claims, then finish by building a full capstone data story from a real public data set.
Data Newsroom
Course journey
Follow the ideas as they grow
8 units, in the order they build on each other. Each unit's question is the thing it exists to answer.
Data in the News
How can you tell whether a statistical claim in the news is being reported honestly?
Visual Data Communication
How does the design of a chart shape what a viewer believes about the data?
Surveys and Polling
What separates a trustworthy poll from an untrustworthy one, and how would you know?
Experiments and Causation
When a headline claims one thing causes another, what evidence would actually justify believing it?
Sports and Performance Data
How do sports analysts use statistics to separate real skill from random variation?
Health and Risk
Why can a highly accurate medical test still be wrong more often than right when a disease is rare?
Introduction to Predictive Modeling
How do you tell whether a predictive model actually works, and where does it stop being trustworthy?
Capstone Data Story
What does it take to turn a raw public data set into an honest, complete data story?