Course Description

Data mining is the process of discovering patterns, trends, and insights from large datasets using various techniques from statistics, machine learning, and database systems. This course introduces students to the principles, methods, and applications of data mining, focusing on extracting valuable knowledge from structured and unstructured data. Data Mining is a comprehensive course that explores techniques for discovering patterns and relationships in large datasets. Participants will learn various data mining algorithms and methodologies, including association rule mining, clustering, classification, and anomaly detection. Topics covered include data preprocessing, feature selection, model evaluation, and interpretation of mining results. Through hands-on projects and case studies, participants will gain practical experience in applying data mining techniques to solve real-world problems in domains such as marketing, finance, and healthcare.