A typical Data Warehousing and Data Mining application includes data collection from heterogeneous data sources, cleaning and transformation of data and periodic updation of data field [8]. A Data Warehouse for Education Data Mining may include student personal details, academic details, examination details and accounting details. A student data cube is shown in figure where dimensions are data attributes and their values are stored in the cell. Figure 1 shows a student data cube with name, verbal ability and MAT score as attributes. Data viewing operation i.e. rolls up and drill down may be performed with respect to multi dimensional data cube [9]. For example, a student data cube is proposed for three different attributes i.e. name, MAT score and verbal ability score. Aggregate details of the student are stored in the individual cell of the data cube. . Figure 1 shows a student data cube with name, verbal ability and MAT score as attributes.