3 credits
Fall 2024 Lecture Upper Division
In today's highly dynamic business environment, decision-makers often encounter problems that are complex and data intensive. This course focuses on a variety of techniques from the field of business statistics and exposes students to statistical and decision analytics to solve data-driven decision-making problems. The course adopts a practical spreadsheet-based approach to facilitate decision-making and explores the practical applications of these techniques across various functional fields, with a specific focus on service industries.
Learning Outcomes1Identify and evaluate managerial problems requiring data-based decision-making.
2Apply quantitative methods to model and analyze real-world situations.
3Employ analytic software tools to solve problems from various functional fields.
4Communicate solutions and managerial implications across different stakeholders.
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made by Purdue students.