Data Literacy Foundations
Learn to read charts critically, clean a real dataset, and write up what it shows, with free tools and open data.
Summarize a dataset and communicate findings
I can compute and explain summary statistics (mean, median, range, and counts by category), choose an appropriate chart, and write a short findings note that a non-expert can follow.
- Domain
- Data Literacy
- Level
- intermediate
- Status
- draft · v0.1.0
- Also called
- Descriptive statistics
- License
- CC BY-SA 4.0
Learn first
- Clean a small tabular dataset intermediate
Learn it
Scope
Descriptive statistics and a single well-chosen chart, communicated in writing. Inference and modeling are out of scope and belong to later outcomes.
Resources
| Resource | Kind | Cost | Provider |
|---|---|---|---|
| OpenIntro Statistics (open textbook) | book | free | OpenIntro |
| Khan Academy, Statistics and Probability | video | free | Khan Academy |
Courses that include it
Prove it
Evidence of mastery
- Produces a one-page findings note with at least one chart, the statistics it rests on, and a plain-language conclusion.
- Explains why the chosen chart fits the data and the question.
Assessments that measure it
Dataset Cleaning Project
A project in which the learner cleans a real dataset, documents every change, and writes a short findings note.
Credentials that include it
Data Literacy Foundations
The holder can read charts critically, clean a small dataset with a reproducible change log, and summarize and communicate findings to a non-expert.
What comes next
No outcome builds on this yet. Ask for the next concept.