Selection of Statistical Software for Solving Big Data Problems

Ceyhun Ozgur, Michelle Kleckner and Yang Li

SAGE Open, 2015, vol. 5, issue 2, 2158244015584379

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.

Keywords: big data; Excel; Minitab; R; SAS; SPSS; statistical software (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:5:y:2015:i:2:p:2158244015584379

DOI: 10.1177/2158244015584379

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