Predictive Analytics in Education Context

Education plays a vital role in nation's overall development process. To be effective, analysis must be timely and cope with data scales. The scale of the data and the rates at which they arrive make manual inspection infeasible. Predictive analytics can help and improve the quality of education by analyzing the historical data of the student and allow the decision makers address factors such as increased drop-out rate, fees structure in the upcoming years, unemployment, Recommender Systems for Professional Development and curriculum Development. This paper presents an analytical study of student progress report and help to plan accordingly to achieve success.