SOWK 3002
Introduction to Data Analysis and Visualization for Social Work
Fundamentals of applied data analysis and storytelling; descriptive/inferential bivariate statistics and data visualizations (e.g. charts and maps) and their use in social work research and practice; interpreting and visualizing data to effectively promote social change and inform policy and practice.
Prerequisites & course information
Prerequisite(s): third-year standing or permission of the School of Social Work. Lecture three hours a week.
Sources
- Course catalogue ↗2026–2027