BSAN 250 - Business Analytics Capstone

A comprehensive, project-based course where students gain hands-on experience working with real-world data. Montgomery College partners in business and industry work alongside faculty and students providing expertise, guidance, and real data. The course includes topics in advanced data mining, data ethics, and reproducible research. PREREQUISITE(S): A grade of C or better in DATA 110 or consent of the department. Two hours each week.

2 semester hours

Course Outcomes:
Upon completion of this course, a student will be able to:

Conduct autonomous research in business analytics.
Apply Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology to analysis projects.
Develop original yet reproducible analyses in a variety of formats for the general public and for members of the business analytics community.
Apply data analysis and archiving techniques in a business application.
Assess different analysis techniques and justify the selection of a particular model or technique.

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