CLOUD ANALYTICS AND ARTIFICIAL INTELLIGENCE TOOLS FOR BUSINESS

Prerequisites & course information

Requisites: GEN BUS 307 , 317 , ECON 400 , 410 , or declared in undergraduate Business Exchange program Course Designation: Core GenEd - Mathematics & Quantitative Reasoning Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Build and share dashboards using data visualization tools. Audience: Undergraduate 2. Utilize SQL to query cloud databases and warehouses. Audience: Undergraduate 3. Build predictive models in the cloud. Audience: Undergraduate 4. Extract insights and answer business questions utilizing generative AI in the cloud. Audience: Undergraduate Learning Outcomes: 1. Build and share dashboards using data visualization tools. Audience: Undergraduate 2. Utilize SQL to query cloud databases and warehouses. Audience: Undergraduate 3. Build predictive models in the cloud. Audience: Undergraduate 4. Extract insights and answer business questions utilizing generative AI in the cloud. Audience: Undergraduate