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Selection of Statistical Software for Solving Big Data Problems

Author

Listed:
  • Ceyhun Ozgur
  • Michelle Kleckner
  • Yang Li

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.

Suggested Citation

  • Ceyhun Ozgur & Michelle Kleckner & Yang Li, 2015. "Selection of Statistical Software for Solving Big Data Problems," SAGE Open, , vol. 5(2), pages 21582440155, May.
    • Handle: RePEc:sae:sagope:v:5:y:2015:i:2:p:2158244015584379
    DOI: 10.1177/2158244015584379
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