3 credits
Spring 2026 Lecture Upper Division
The Capstone course aims at providing students with an opportunity to integrate their accumulated knowledge and technical and social skills in order to identify and solve realistic or real-world data science problem, with an emphasis on the application domain. Capstone projects are often sponsored by corporate partners or by academic or non-academic research groups. The Capstone course serves as preparation for students entering into the profession of Data Science. Students will conduct a team-based project through the entire data science pipeline, by following the six phases of the CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology. Students get experience in working as teams, participating in project planning, writing reports, and giving presentations.
Learning Outcomes1Identify the business objectives in a complex problem.
2Develop appropriate data science goals and project plan.
3Implement the appropriate data pre-processing and analysis models.
4Evaluate the above models and interpret results with respect to the "business" objectives.
5Present the project outcomes through written reports and digital/oral presentations.
Prerequisites
Restrictions
made by Purdue students.