STAT 281
Download as PDF
Data Visualization
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.