Provides a conceptual and practical overview of analytical tools, techniques, and practices used to support data-driven decision making in organizations. Topics include data visualization, data mining, machine learning techniques and business intelligence programming languages.
Undergraduate Credit: 3 hours
Note: No graduate credit.
Course Department: Business Administration
Updated: March 28, 2026