BAN317 Data Analytics, Machine Learning, and Business Forecasting

College of Business and Criminal Justice Business Department

Course Description: This course introduces practical approaches to business forecasting and decision support using artificial intelligence and modern data tools. Students will work in cloud-based environments to analyze data using guided tools that support SQL-style operations and Python workflows. Key activities include structuring multi-tab datasets, creating KPI dashboards for cost, risk, and performance, and applying AI-assisted predictive models to inform business decisions. Learners will calculate and interpret forecasting and error metrics to evaluate scenarios and validate spreadsheet-based analyses. Emphasis is placed on using enhanced analytics platforms to run and interpret models, compare outcomes, and generate clear, stakeholder-ready reports. Throughout the course, students will practice responsible AI use by ensuring transparency, traceability, and reliability in their data-driven recommendations.

Credit Hours: 3.00

Prerequisites: BUS121

Corequisites: None