Análise de desempenho dos alunos de engenharia de computação da UFRN

Abstract

This work contemplates the development of algorithms in python, using libraries such as pandas, plotly and dash to generate an Exploratory Data Analysis - EDA, built from the work of Data Engineering by downloading the datasets, building the environment for the development of the algorithms and the Extraction, Transformation and Loading of data, going through the work of the Data Scientist, building the algorithms, automations for tests, verifying the authenticity and validation of the data, creating interactive dashboards for data visualization and graphical analysis and finally, creating a treadmill for deploying the application in the cloud, in order to generate insights into the performance evalua- tion of students of the UFRN computer engineering course, between semesters 2018.1 to 2022.2, addressing the situations of passing, passing by grade and failing at the end of each semester of each student in relation to their final average grade in the discipline, in a comparison between the periods before (2018.1 to 2019.2), during (2020.5 to 2021.2) and after (2022.1 and 2022.2) the pandemic.