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Teaching Note—Data Science in the MSW Curriculum: Innovating Training in Statistics and Research Methods
Journal of Social Work Education ( IF 1.784 ) Pub Date : 2020-07-13 , DOI: 10.1080/10437797.2020.1764891
Brian E. Perron , Bryan G. Victor , Barbara S. Hiltz , Joseph Ryan

ABSTRACT

Recent and rapid technological advances have given rise to an explosive growth of data, along with low-cost solutions for accessing, collecting, managing, and analyzing data. Despite the advances in technology and the availability of data, social work organizations routinely encounter data-related problems that have an impact on their opportunities for making data-driven decisions. Although training in research methods and statistics is important for social work students, these courses often do not address the needs organizations face in collecting, managing, and using data for data-driven decision making. In this teaching note, we propose innovating the social work curriculum using a data science framework as a way to address the day-to-day challenges organizations face regarding data. We provide a description of data science, along with four examples of MSW student projects that were based on a data science framework.



中文翻译:

教学笔记——MSW课程中的数据科学:创新统计和研究方法培训

摘要

最近和快速的技术进步导致数据的爆炸式增长,以及用于访问、收集、管理和分析数据的低成本解决方案。尽管技术进步和数据的可用性,社会工作组织经常遇到与数据相关的问题,这些问题会影响他们做出数据驱动决策的机会。尽管研究方法和统计方面的培训对社会工作专业的学生很重要,但这些课程通常不能解决组织在收集、管理和使用数据进行数据驱动决策时所面临的需求。在本教学说明中,我们建议使用数据科学框架来创新社会工作课程,以解决组织在数据方面面临的日常挑战。我们提供数据科学的描述,

更新日期:2020-07-13
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