Programming for Business Analytics.

Catalog description

Semester course; 3 lecture hours. 3 credits. Prerequisite: BUSN 212 or MATH 200 with a minimum grade of C. Enrollment is restricted to students who have completed at least 54 credit hours (junior standing). This course will teach students how to use Python for data analytics and data science. Students will gain proficiency in manipulating, cleaning and analyzing large datasets; creating data visualizations; and developing statistical models. By the end of the course, students will have developed the ability to use Python for data analytics and data science projects, including the development of data-driven insights and predictive models.