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Integrating Common Data Analytics Tools Into Non-Technical Undergraduate Curricula, Kurt Kirstein
Integrating Common Data Analytics Tools Into Non-Technical Undergraduate Curricula, Kurt Kirstein
All Faculty Scholarship for the College of Education and Professional Studies
Aside from statistics courses, accessible data analytics skills are often excluded from traditional non-technical university programs. These are topics that are typically the domain of programs that focus on math, statistics and computer science. Yet the need for these skills in non-technical disciplines is changing. A rapid expansion of data-related processes in organizations of many types requires individuals who have at least a working knowledge of common analytic tools. This article briefly describes three categories of data analytics tools that can be useful for graduates in any discipline. The first category covers descriptive tools that allow students to learn what …