DATA 451 - Data Analysis and Mining II

3 credit hours - This 3-credit course builds upon concepts introduced in Data Analysis and Mining I, focusing on advanced topics in data analytics. Students will explore predictive modeling techniques (e.g., neural networks), model evaluation methods, clustering approaches (hierarchical, density-based), basic association analysis, statistical data analytics, and data visualization. The course emphasizes practical applications and critical analysis of data-driven insights. Prerequisite(s): DATA 161 or DATA 171, DATA 241, DATA 242 and DATA 450.