BDA 320 - Predictive Analytics in Business

Credits: 3
When Offered: Fall or Spring, as needed
Course Level: Upper Division
Prerequisite(s): MATH 110
The objectives of this course are (1) to provide the learner with a foundational understanding of the theoretical concepts of predictive analytics techniques and, (2) to use statistical methods such as probability, multiple linear regression, logistic regression, decision trees, and neural networks to solve predictive analytics problems. Student will be exposed to MS Excel and SPSS in order to conduct forecasting.