INTERMEDIATE DATA ANALYSIS FOR BUSINESS
Enables you to understand and apply useful approaches to analyzing and presenting data to support business decision making. Emphasis on applications of predictive and prescriptive analytics. Predictive approaches use historical data to infer relationships and forecast future outcomes. Prescriptive methods formulate decision models to identify choices that are optimal with respect to a desired, measurable outcome. Provides experience integrating diverse data sources, modelling uncertainty, and visualizing key insights.
Prerequisites & course information
Requisites: GEN BUS 206 Course Designation: Core GenEd - Mathematics & Quantitative Reasoning Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Analyze and communicate with data in business environments Audience: Undergraduate 2. Implement and interpret output from common statistical methodologies Audience: Undergraduate 3. Integrate data from multiple data sources Audience: Undergraduate 4. Create compelling data visualizations Audience: Undergraduate 5. Solve and interpret basic optimization and simulation models Audience: Undergraduate 6. Integrate models of uncertainty into business decision-making Audience: Undergraduate Learning Outcomes: 1. Analyze and communicate with data in business environments Audience: Undergraduate 2. Implement and interpret output from common statistical methodologies Audience: Undergraduate 3. Integrate data from multiple data sources Audience: Undergraduate 4. Create compelling data visualizations Audience: Undergraduate 5. Solve and interpret basic optimization and simulation models Audience: Undergraduate 6. Integrate models of uncertainty into business decision-making Audience: Undergraduate
Sources
- Course catalogue ↗2026-2027