Document Type
Article
Publication Date
5-2015
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.
Recommended Citation
Ozgur, Ceyhun; Kleckner, Michelle; and Li, Yang, "Selection of Statistical Software for Solving Big Data Problems: A Guide for Businesses, Students, and Universities" (2015). Business Faculty Publications. 22.
https://scholar.valpo.edu/cba_fac_pub/22
