Learn to think with data.
Move from sharp questions to credible analysis—with R and visualization first, then generative AI and stories that help people decide.
Open the right workspace.
Weekly pages tell you what to focus on. These collections keep every published course item easy to find.
Lecture slidesConcepts, examples, live coding, and lecture visuals. ClassworkHands-on practice designed for class sessions. HomeworkAssignment pages and instructions. Submit completed work in Brightspace. Group projectBrowse project topics, supporting datasets, and the storytelling guideline. Semester mapSee the week-by-week course path, topics, and major dates. SyllabusCourse policies, outcomes, assessment, and full details.
Plan around the moments that shape the semester.
From analytics thinking to data-informed decisions.
Prepare data and study databases before the October 19 midterm, then explore visualization for three weeks and generative AI for two weeks before project work and presentations.