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Selection of Statistical Software for Solving Big Data Problems

Ceyhun Ozgur, Michelle Kleckner, Yang Li

SAGE Open · 2015

doi:10.1177/2158244015584379 (opens in a new tab)

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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.

Abstract licence: CC BY

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