Selection of Statistical Software for Solving Big Data Problems: A Guide for Businesses, Students, and UniversitiesBusiness Faculty Publications
AbstractThe 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 InformationCeyhun 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/