Abstract: Educational Data Mining (EDM) is a platform for literacy and exploring from data to get essential information and induce the unique pattern which will help study, assay and skill pupil performance in academic. Colourful data mining styles can be apply to sludge the data from data storehouse to apply data mining ways which helps pupil for taking opinions for better outgrowth. The model which can be use in Educational data mining must be a formative and descriptive model applied on data

more »

... storehouse and must gather veritably accurate data for enhance the performance of study. Retrogression analysis can also be used to develop a model to use as study tool; it can be used dependent or independent variables. If the model is enough perfect for using as study tool also every cluster of data must be use that model to cost the attendant data. Occasionally educational data mining is considered as overall performance of scholars, but each pupil has its own position of understanding the contents so that system must also be enough flexible for every one; for fulfilling this demand educational system can be complex, but once it's constructed also it'll helpful for everyone. This paper is describing colourful data mining ways and their proper uses. Keywords: Educational Data Mining, Cluster Analysis, Classification, Regression Model, K-Means.