BUSINESS ANALYTICS II
Emphasis on hands-on experience with many commonly used analytic methodologies using the modeling and optimization tools available on almost every professional desktop. The focus is predictive and prescriptive analytics. Predictive approaches use historical data to infer causal relationships and forecast future outcomes from a given action. Prescriptive methods take this a step further, helping managers formulate decision models that identify optimal actions given a set of circumstances.
Prerequisites & course information
Requisites: GEN BUS 106 and 306 , 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. Explain the principles of different regression techniques for different forms of data Audience: Undergraduate 2. Discriminate between types of explanatory variables and ways to incorporate these variables in a statistical model Audience: Undergraduate 3. Implement and interpret output from the most common statistical methodologies Audience: Undergraduate 4. Recognize the structure of relational databases Audience: Undergraduate 5. Construct basic optimization and simulation models Audience: Undergraduate 6. Understand the collection, management, reasoning, and communication with data in corporate and other environments Audience: Undergraduate Learning Outcomes: 1. Explain the principles of different regression techniques for different forms of data Audience: Undergraduate 2. Discriminate between types of explanatory variables and ways to incorporate these variables in a statistical model Audience: Undergraduate 3. Implement and interpret output from the most common statistical methodologies Audience: Undergraduate 4. Recognize the structure of relational databases Audience: Undergraduate 5. Construct basic optimization and simulation models Audience: Undergraduate 6. Understand the collection, management, reasoning, and communication with data in corporate and other environments Audience: Undergraduate
Sources
- Course catalogue ↗2026-2027