MATH-401In Development

Data, Probability & Statistics

Data Literacy and Graphs

Learn to read, question, and clearly communicate information in tables, charts, and simple summaries.

Level
Level 2 — Foundational
Learning time
5 hours
Format
Short Course
Modules
5

Course structure

A clear outline before lessons begin.

This course is published as a development map. Full lessons, practice, and assessments will be added after content review.

Recommended preparation

These courses strengthen preparation but are not strict prerequisites.

Learning outcomes

By the end, learners will be able to…

  • Identify common data types, variables, and data sources.
  • Select and interpret appropriate tables and graphs.
  • Calculate and interpret basic measures of center.
  • Recognize misleading scales, incomplete displays, and unsupported claims.
  • Communicate a concise evidence-based conclusion from a small data set.

Module outline preview

5 planned modules

Estimated times add up to the course’s planned learning time. Every module is in development.

  1. 01

    Questions, Variables, and Data Types

    Identify what information is being collected and what a data set can answer.

    1 hour · In Development
  2. 02

    Tables and Visual Displays

    Read and create basic tables, bar charts, line graphs, and pie-style displays.

    1 hour · In Development
  3. 03

    Center and Typical Values

    Calculate and interpret mean, median, and mode in simple contexts.

    1 hour · In Development
  4. 04

    Patterns, Scale, and Misleading Graphs

    Evaluate trend claims, axes, labels, and omitted context critically.

    1 hour · In Development
  5. 05

    Data Story Review

    Summarize a small data set accurately and communicate its limitations.

    1 hour · In Development

Course status

Course coming soon

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.

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Recommended learning paths

A clear sequence, not a random list.

These paths show a recommended order. Branches identify connected study that can follow once prerequisites are complete.