STAT 281
Download as PDF
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 through visualization. (Supports Program Outcome: Skill in fitting statistical models)
Title
Critique
Learning Outcome
Evaluate existing visualizations by identifying excellent presentations as well as limitations, misrepresentation, and bias. (Supports Program Outcome: Skill in fitting statistical models, Communication skills)
Title
Design
Learning Outcome
Choose appropriate visualization format based on data, audience, and goals. (Supports Program Outcome: Skill in fitting statistical models, Communication skills)
Title
Create
Learning Outcome
Create commonly-requested static and interactive data visualizations. (Supports Program Outcome: Skill in fitting statistical models)
Title
Refine
Learning Outcome
Iterate and test to improve utility of a visualization. (Supports Program Outcome: Skill in fitting statistical models)
Title
Communication
Learning Outcome
Tell compelling stories with data. (Supports Program Outcome: Communication skills, Professional preparation)
Title
Authentic
Learning Outcome
Use authentic data sources, including large and complex datasets. (Supports Program Outcome: Computing skills, Professional preparation)
Title
Portfolio
Learning Outcome
Create a portfolio of data visualizations. (Supports Program Outcome: Computing skills, Professional preparation)
Title
Tools
Learning Outcome
Select appropriate tools for building visualizations, and gain skills to evaluate new tools. (Supports Program Outcome: Computing skills, Professional preparation)