Abstract
Every part of the education sector is struggling to produce actionable data favorable for their growth. The primary stakeholders of this sector are unable to take effective and productive decisions as the huge amount of data collected is not being processed properly. A lot of striking data are lost in the process as there are no schemas available for extracting the intelligence from them. Various external factors affecting the student’s growth are not identified and thus the parents and teachers fail to understand the real reason behind the student’s performance. Hence to measure student's growth SGP (Students Growth Percentile) can be used. It is also necessary to keep tab on student's future marks so as to take precautionary measure in case of negative growth. Here, time series analysis and forecasting can be used. Regression is use to calculate impact of any external factors on overall performance. When all these identified external myriad data along with the academic data is captured, processed using analytical models such as R. The stakeholders will be able to understand the core reasoning behind progress rate and thus take decisions accordingly. This is the fundamental idea behind Education Analytics.
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