Data, Probability & Statistics
Use probability, sampling, distributions, and statistical comparisons to make careful evidence-based conclusions.
Course structure
This course is published as a development map. Full lessons, practice, and assessments will be added after content review.
Complete these courses before beginning when they are available.
These courses strengthen preparation but are not strict prerequisites.
Learning outcomes
Module outline preview
Estimated times add up to the course’s planned learning time. Every module is in development.
Connect data questions with probability models and random variation.
Calculate probabilities from equally likely outcomes and data-based frequencies.
Use organized methods to analyze combined events and conditions.
Evaluate populations, samples, random selection, and bias.
Describe data using center, spread, shape, and outliers.
Use sampling variation to reason about uncertainty in a population claim.
Interpret association carefully and distinguish it from causation.
Evaluate a short claim using probability, data quality, and stated limitations.
Course status
This course is not yet open for enrollment and does not include lessons, practice, assessments, or formal credit. You can review the outline while it is developed.
Recommended learning paths
These paths show a recommended order. Branches identify connected study that can follow once prerequisites are complete.
Learning path
Move from clear displays to probability, research design, and responsible evidence-based conclusions.
End capabilityRead, analyze, and communicate evidence from data while recognizing uncertainty and limitations.