Courses Details

PUBHLTH345: Public Health Data Visualization

• Undergraduate level
• Residential
• Winter term(s) for residential students;
• 2 credit hour(s) for residential students;
• Instructor(s): Philip Boonstra (Residential);
• Prerequisites: None
• Advisory Prerequisites: STAT250
• Description: This course teaches both the principles and practice of effective data visualization using the R statistical environment, with a special focus on public health data sets. Historical and contemporary examples of data visualizations will be assessed with respect to their effectiveness and integrity.
• Learning Objectives: 1. To understand the principles of effective and accurate graphical representation of different data types; 2. To draw conclusions from graphical representations about relationships and trends in variables; 3. To understand how graphical representations of data can be used to mislead or exaggerate relationships; 4. To create and improve data visualizations using the R statistical environment;