AEM 4600
Predictive Analytics for Business Strategy
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.
Topics
- 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.
Official roster learning outcomes
Prerequisites & course information
AEM 2100 or equivalent.
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- Predictive Analytics for Business Strategy · 3.0 · Undergraduate