Pereira, Monica MagalhaesQueiroz, Mariana Camila Cesário de2022-07-282022-07-282022-07-20QUEIROZ, Mariana Camila Cesário de. Uma análise exploratória sobre as percepções de gênero no ambiente acadêmico do CT, ECT, CCET e IMD da UFRN. 2022. 51f. Trabalho de Conclusão de Curso (Graduação em Engenharia de Computação) - Centro de Tecnologia, Universidade Federal do Rio Grande do Norte, Natal, 2022.https://repositorio.ufrn.br/handle/123456789/48813The United Nations (UN) has defined "gender equality" as one of the main goals to change the world, which highlights the importance of studies in this context. In view of this, this paper aims to build an insight into the profile of undergraduate students of the Centro de Tecnologia, Escola de Ciências e Tecnologia, Centro de Ciências Exatas e da Terra and the Instituto Metropole Digital of the Universidade Federal do Rio Grande do Norte, which offer engineering and technology courses. This study has a descriptive character and was based on qualitative and quantitative methods. The specific objectives are: to verify the impact of gender inside the study environment with regard to prejudice and intimidation situations due to the gender of the students of the area; to analyze the profile of the students of the engineering and technology courses at Universidade Federal do Rio Grande do Norte. In this way, the concepts of data science, statistics, and data visualization are used, which allowed the results to be achieved through pre-processing techniques, exploratory analysis, and statistical tests, using the Python programming language and its libraries Pandas, Matplotlib, and Seaborn. With Therefore, it was found that the courses with the highest concentration of women are Textile Engineering and Food Engineering, which has the lowest percentage of women is the Bachelor in Information Technology. In addition, it was concluded that the number of female entrants did not increase in the analyzed period and that at UFRN there is an environment that causes negative impact on the lives of female students.Attribution-NonCommercial 3.0 Brazilhttp://creativecommons.org/licenses/by-nc/3.0/br/Ciência de dadosGênero nas exatasPythonData scienceGender in exact sciencesbachelorThesis