concepts:
- id: descriptive-statistics
  title: Descriptive Statistics
  description: Descriptive Statistics introduces measures of center and spread.
  prerequisites: []
  mastery_signals:
  - Explain mean, median, and variance.
  mastery_profile: {}
- id: probability-basics
  title: Probability Basics
  description: Probability Basics introduces events, likelihood, and Bayes-style reasoning.
  prerequisites:
  - descriptive-statistics
  mastery_signals:
  - Explain conditional probability.
  mastery_profile: {}
- id: prior-and-posterior
  title: Prior and Posterior
  description: A Prior expresses assumptions before evidence. Posterior reasoning
    updates belief after evidence.
  prerequisites:
  - probability-basics
  mastery_signals:
  - Explain a prior distribution.
  - Explain how evidence changes belief.
  mastery_profile: {}
- id: capstone-mini-project
  title: Capstone Mini Project
  description: This project asks learners to critique assumptions and produce a small
    capstone artifact.
  prerequisites:
  - prior-and-posterior
  mastery_signals:
  - Write a short project report comparing priors and posteriors.
  mastery_profile: {}