Data Analytics, Machine Learning, and Business Forecasting

Catalog 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.