Bibliographic citations
Marquina, E., Matos, R., Mayta, J., Miranda, C., Valdiviezo, W. (2021). Determinación de variables que impiden a los alumnos inscribirse en el Programa Arizona - UPC [Trabajo de investigación, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/658666
Marquina, E., Matos, R., Mayta, J., Miranda, C., Valdiviezo, W. Determinación de variables que impiden a los alumnos inscribirse en el Programa Arizona - UPC [Trabajo de investigación]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2021. http://hdl.handle.net/10757/658666
@misc{renati/1291370,
title = "Determinación de variables que impiden a los alumnos inscribirse en el Programa Arizona - UPC",
author = "Valdiviezo Villafuerte, Wilmer Oswaldo",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2021"
}
In the following research work, the Data Science methodology was used to find possible solutions to the problem that the Arizona program of the University of Applied Sciences (UPC) has since it is not possible to reach the goal of students enrolled and admitted to despite presenting great benefits in the professional and educational aspect. The historical data of the years 2019, 2020 and 2021 was analyzed, which was collected directly from the university and the prescriptive approach was established. The most relevant variables of the database were identified such as the level of English, the chosen career, the average family income, among others, in order to carry out the descriptive analysis to create visualizations and generate graphs to help us to count the story. The data architecture was developed in order to see the analysis process so that later a model can be developed and implemented that helps us predict the behavior of students in front of the program through the decision tree. The most outstanding results of the study were that the level of English is one of the limitations for the enrollment of students. Likewise, the economic factor influences the decision, since it is more likely that a student with an average family income greater than 10,000.00 soles will enroll and, finally, that the model through the decision tree allows us to identify whether a student enrolls or not on the Arizona show.
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