A Data Mining course focuses on extracting valuable patterns, correlations, and insights from datasets using various algorithms and statistical methods. It covers essential topics such as data preprocessing, classification, clustering, association rule learning, anomaly detection, and model evaluation. By the end of the course, students gain the skills to analyze and interpret data, enabling them to make informed, data-driven decisions in diverse fields like business, healthcare, and finance.
- Teacher: Simon, Fong Simon James