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Time Series analysis and forecasting MOOC

A Time-Series analysis and forecasting of different Open Online Course Participants around the globe for years 2012-2016 using R. This stochastic time-series graph was obtained from a rich data of over 640K unique users.

MOOC-prediction

It can be observed that "computer science" remained to be favorite among the participants throughout, and incredibly reached a peak of 300K in late 2014.

MOOC-prediction

The figure above shows the prediction attained by participants in STEM courses for the following 12 months. This prediction is achieved using ARIMA model in R, that predicts a slight rise of participants in early months of 2017.

Citations

All thanks to HarvardX and MITx for the awesome data!

HarvardX, 2014, "HarvardX Person-Course Academic Year 2013 De-Identified dataset, version 3.0", https://doi.org/10.7910/DVN/26147, Harvard Dataverse, V11, UNF:6:WSoYmsP5KeX2t/6g2JiEuw== [fileUNF]

Chuang, Isaac and Ho, Andrew, HarvardX and MITx: Four Years of Open Online Courses -- Fall 2012-Summer 2016 (December 23, 2016). Available at SSRN: https://ssrn.com/abstract=2889436 or http://dx.doi.org/10.2139/ssrn.2889436

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Time Series analysis and forecasting for MOOC business

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