Data, Probability & Statistics
Plan a small research study and use statistical tools to analyze data, interpret results, and communicate limits responsibly.
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.
Turn a broad question into measurable variables and a workable study plan.
Evaluate validity, reliability, coding choices, and missing information.
Select a sampling approach and identify limitations before collecting data.
Organize data, identify errors, and document preparation decisions.
Select summaries and graphics that match the question and data type.
Use probability ideas to interpret estimates and uncertainty.
Explain statistical evidence without overstating conclusions.
Analyze group differences and relationships with appropriate methods.
Separate numerical output from the strength and scope of a conclusion.
Plan a concise evidence-based report with methods, findings, and 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.