Educational data analytics is used to improve student academic performance. Predictive analytics can
help in improving the quality of education by providing right information for decision makers to take
better decisions. The data mining classification tech
niques such as decision tree are used to predict
academic performance of the students. Mining data from educational dataset helps to extract useful
information for enhancing the teaching and learning process. This paper focuses on the overview of
various
Data Mining Techniques through reviews of different research papers.
