Bibliographic citations
Bravo, F., Chávarri, M., Huayta, M. (2020). Predecir la demanda de alumnos matriculados en el CCDG para el año 2020 [Trabajo de investigación, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/656507
Bravo, F., Chávarri, M., Huayta, M. Predecir la demanda de alumnos matriculados en el CCDG para el año 2020 [Trabajo de investigación]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2020. http://hdl.handle.net/10757/656507
@misc{renati/395980,
title = "Predecir la demanda de alumnos matriculados en el CCDG para el año 2020",
author = "Huayta León, María de los Ángeles",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2020"
}
The present research work aims to determine the number of students enrolled in the various programs for the year 2020 within the Global Training and Development Center, located in the city of Lima. This, through the analysis of 2018 and 2019 data history. A predictive research was carried out, since this type of research is intended to foresee or anticipate future situations, in order to make good decisions regarding the opening of vacancies in the various programs and diplomas to cover the possible demand of enrolled students, and, also, to determine the variables that allow a greater customer acquisition. The applied Data Science methodology is simple linear regression, which is a technique that projects the number of students who would enroll in the 2020 period. The variables used for this technique were the number of enrolled students and the number of months corresponding to the last two years analyzed. As a result, there would possibly be 3280 students enrolled by 2020 in the programs offered at the CCDG, and the most influential variable for customer recruitment are virtual classes; also, the most demanded course is OSCE certification and SIAF diplomas. The most effective means of contact, which can attract more clients, are WhatsApp and phone calls.
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