Analyzing and Predicting Colombian Undergrads Performance on Saber-Pro Test: A Data Science Approach

In this paper, we present an analytic tool solution for universities and the Colombian government, which allows them to identify the main factors that impact the performance of undergraduate students and also to predict the performance of the future cohorts of students. This solution consists of an interactive dashboard that visualizes two different types of analysis: in the first place, the descriptive statistics of variables related to the different entities implicated in the education process such as students, universities, and the state governments; and in the second place, the solution helps to visualize the results of different predictive models.