Course Description
In this course, students will explore and integrate the power of data analytics to tackle real-world business challenges. Through analyzing scenarios grounded in authentic business problems and datasets, students will journey through the full analytics lifecycle, encompassing the articulation of business problems, data curation, analysis, and decision-making. Students will learn to identify and elucidate business problems amenable to analytics solutions, incorporating AI to provide innovative insights. A critical part of the course involves evaluating the impact of these advanced analytic methods on business outcomes, ensuring students can effectively communicate the significance of their findings and the potential benefits to the business "bottom line".
Spring 2025
Instructors
Meeting Patterns
Classes Start:
January 6, 2025
Classes End:
April 22, 2025
Location:
01140 Nelson Hall
Class Days:
M W
Class Start Time:
4:30pm
Class End Time:
5:45pm
Class Type:
Lecture
Credits:
3.00
Restrictions:
Prerequisite: BUS 351 Restricted to students in the following: Accounting, Economics (B.A./B.S.), Accounting Minor, Business Administration, Management