DATA 450 - Data Analysis and Mining I

3 credit hours - This 3-credit course introduces fundamental concepts of data mining through hands-on learning. Students will explore key topics, including K-Nearest Neighbors, Decision Trees, Naive Bayes, Text Mining, Sentiment Analysis, and Ensemble Models. Emphasis is placed on practical application and developing analytical skills to extract meaningful insights from data. Prerequisite(s): DATA 161 or DATA 171, DATA 241 and DATA 242,