Thesis Plan: The effect of data science teaching for non-STEM students

Abstract

In recent years, the interest in Data Science has increased in both industry and academia. Historically, access to this discipline has been redirected to STEM professionals. However, the ubiquity of cloud computing and the simplicity of modern programming languages such as Python and R have enabled non-STEM students and professionals to leverage it especially to analyze data. Similarly, with what has been conveyed with computational thinking in terms of enabling non-STEM students with com technological competencies, this article aims to present a proposal for improving the teaching of data science specifically to non-stem students.