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AEM 5605
Last Updated
- Schedule of Classes - March 28, 2025 7:24PM EDT
- Course Catalog - March 28, 2025 7:07PM EDT
Classes
AEM 5605
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.
Permission Note Enrollment limited to: graduate students.
Outcomes
- 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.