AEM 4600

Predictive Analytics for Business Strategy

Course Description

Course information provided by the Courses of Study 2024-2025.

This course teaches students how data analysis informs business strategy, using a framework of logical reasoning and practical communication. We will develop analytical skills and gather hands-on experience with data to understand how strategic decisions affect firm performance, for example in the context of economic consulting. The material will focus on a subdivision of predictive analytics called active prediction, and students will learn the basics of identification to determine what data are most useful when answering a given empirical question.

When Offered Spring.

Prerequisites/Corequisites Prerequisite: AEM 2100 or equivalent.

• Perform and explain both deductive and inductive reasoning in the context of data analysis.
• Distinguish data mining from causal analysis, as well as passive prediction from active prediction.
• Use statistical software to perform data analysis.
• Write clearly and concisely about data analysis to establish causal relationships among strategic variables and outcomes.
• Explain to a non-technical audience the key components of data analysis establishing causality and its implications.

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