CLOUD TECHNOLOGY FOR BUSINESS ANALYTICS
Provides an overview of cloud services that support business analytics. Load and analyze data, build and deploy machine learning models, and develop data pipelines through hands-on, in-class activities working in cloud environments.
Prerequisites & course information
Requisites: Graduate/professional standing or member of graduate Business Exchange program Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Explain, at a foundational level, the cloud landscape for business analytics – i.e. vendors, services, and costs. Audience: Graduate 2. Demonstrate how to load and connect to data in the cloud for a variety of analytics. Audience: Graduate 3. Setup and manage a cloud data warehouse. Audience: Graduate 4. Build and deploy machine learning models in the cloud. Audience: Graduate 5. Develop and test a data pipeline in the cloud. Audience: Graduate 6. Analyze big data in a cloud environment. Audience: Graduate Learning Outcomes: 1. Explain, at a foundational level, the cloud landscape for business analytics – i.e. vendors, services, and costs. Audience: Graduate 2. Demonstrate how to load and connect to data in the cloud for a variety of analytics. Audience: Graduate 3. Setup and manage a cloud data warehouse. Audience: Graduate 4. Build and deploy machine learning models in the cloud. Audience: Graduate 5. Develop and test a data pipeline in the cloud. Audience: Graduate 6. Analyze big data in a cloud environment. Audience: Graduate
Sources
- Course catalogue ↗2026-2027