Thesis Plan: The Effect of Data Science Teaching for non-STEM students

被引：1
|
作者：
Barboza, Luiz [1 ]
机构：
[1] CESAR Sch, Recife, PE, Brazil
来源：
2022 ACM/IEEE JOINT CONFERENCE ON DIGITAL LIBRARIES (JCDL) | 2022年
关键词：
Data Science; non-STEM; computational thinking; BIG DATA;
D O I：
10.1145/3529372.3530976
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
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页数：2
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