This course provides an introduction to data exploration and data mining. It is designed to familiarize students with dimensional data modeling, data warehousing, and data mining. The course focuses on topics such as dimensional data modeling, data warehousing, datamarts, DM development process, data preprocessing and exploration, statistical approaches to DM, k-nearest neighbor algorithm, decision trees, neural networks, etc. Learning activities include group projects using the R software tool.
This course provides an introduction to data exploration and data mining. It is designed to familiarize students with dimensional data modeling, data warehousing, and data mining. The course focuses on topics such as dimensional data modeling, data warehousing, datamarts, DM development process, data preprocessing and exploration, statistical approaches to DM, k-nearest neighbor algorithm, decision trees, neural networks, etc. Learning activities include group projects using the R software tool.
