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Article
Selection of Statistical Software for Solving Big Data Problems: A Guide for Businesses, Students, and Universities
Business Faculty Publications
  • Ceyhun Ozgur, Valparaiso University
  • Michelle Kleckner, Valparaiso University
  • Yang Li, Valparaiso University
Document Type
Article
Publication Date
5-1-2015
Disciplines
Abstract
The need for analysts with expertise in big data software is becoming more apparent in today’s society. Unfortunately, the demand for these analysts far exceeds the number available. A potential way to combat this shortage is to identify the software taught in colleges or universities. This article will examine four data analysis software—Excel add-ins, SPSS, SAS, and R—and we will outline the cost, training, and statistical methods/tests/uses for each of these software. It will further explain implications for universities and future students.
Citation Information
Ceyhun Ozgur, Michelle Kleckner and Yang Li. "Selection of Statistical Software for Solving Big Data Problems: A Guide for Businesses, Students, and Universities" (2015)
Available at: http://works.bepress.com/ceyhun_ozgur/169/