The course covers business intelligence (BI), data mining, fundamental concepts, techniques, and applications to produce data-driven insights and inform strategic decision-making in contemporary business contexts. Topics include data warehousing, preprocessing, data mining algorithms (regression, classification, clustering), predictive modeling, and performance evaluation. Emphasis is placed on integrating BI with organizational decision-making processes and business strategy, with practical exercises using industry-standard tools for data visualization, reporting, and dashboard creation. This class may include students from multiple sections.
Must be seeking a Bachelor of Applied Science in Management degree to enroll. If interested, visit pencol.edu/bas
Information Technology Management BAS Program Admittance
Course Outcomes
- Demonstrate understanding of the principles of business intelligence and data mining.
- Apply data warehousing techniques, including preprocessing and integration, to get data in place for analysis.
- Implement various data mining algorithms like regression, classification, and clustering.
- Develop forecasting models.
- Evaluate the results of business intelligence and data mining using appropriate metrics.