ISSN: 2319-7293
Angie Lorena Duran Chaparro*
This study explores the optimization of the admission process at the Colombian School of Engineering Julio Garavito through data analysis. By integrating advanced tools like power BI, python flask and data mining techniques, a model has been developed to improve student selection and retention, enabling more informed and effective decisions. The results indicate that applying data science not only facilitates efficient data management but also promotes more inclusive and equitable educational policies. This pioneering approach in the field of higher education in Colombia offers a framework for future research and technological developments, highlighting the vital importance of data science in improving educational and administrative processes.
Published Date: 2025-04-29; Received Date: 2024-08-14