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 sought by employers and to align this with the software taught by universities. This paper will examine multiple data analysis software – Excel add-ins, SPSS, SAS, Minitab, and R – and it will outline the cost, training, statistical methods/tests/uses, and specific uses within industry for each of these software. It will further explain implications for universities and students.



Recommended Citation

Ozgur, C., Dou, M., Li, Y., & Rogers, G. (2017). Selection of statistical software for data scientists and teachers. Journal of Modern Applied Statistical Methods, 16(1), 753-774. doi: 10.22237/jmasm/1493599200