BUS 48001 - Discovery With Data Mining

Explore the world of predictive analytics in this course! Learn key techniques like principal component analysis, classification and regression trees, clustering, logistic and linear regression, and model evaluation; uncover patterns in data to anticipate future trends and make informed decisions; and gain hands-on experience using graphical interface software to apply these skills to real-world data. Cap off the semester with a group project, applying your newfound expertise to a practical scenario.

Preparation for Course
P: BUS 30102 with C- or better.

Cr. 3.
Notes
Enrollment in business (BUS) courses numbered 30100 and above is restricted to students who meet established criteria: business majors who have met the pre-business requirements and been admitted into one of the business majors; or students that have declared other pre-approved programs or minors which require particular business courses, and completed all course prerequisites; or students that have obtained written permission from the department through which the course is offered.
Student Learning Outcomes