STAT 281

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Data Visualization

Statistics College of Computational, Mathematical, & Physical Sciences

Course Description

Fundamental principles of data visualization; chart types and when to use them; design of clear and meaningful visualizations from complex data; reproducible creation of static and interactive visualizations; development of portfolio of charts and graphs; use of appropriate visualization tools; communication of insights, observations, and results.

When Taught

Winter

Fixed/Max

3

Fixed

3

Title

Exploratory Data Analysis

Learning Outcome

Explore data visually to uncover patterns and spark insights.

Title

Critique

Learning Outcome

Evaluate visualizations for clarity, fidelity, and bias, offering constructive feedback with grace and kindness.

Title

Design

Learning Outcome

Select visualization forms with discernment, ensuring each choice serves the data, the audience, and the intended purpose.

Title

Create

Learning Outcome

Build static and interactive visualizations that help others understand and act on information.

Title

Refine

Learning Outcome

Iterate to enhance accuracy, accessibility, and usefulness.

Title

Communication

Learning Outcome

Tell compelling, truthful data stories that enlighten decisions in communities and organizations.

Title

Authentic

Learning Outcome

Use authentic data sources, including large and complex datasets.

Title

Portfolio

Learning Outcome

Assemble a portfolio that displays readiness to serve diverse audiences.

Title

Ethics

Learning Outcome

Present data with integrity and transparency---applying ethical standards that faithfully steward truth.