Selection of Statistical Software for Solving Big Data Problems for Teaching
Journal of Modern Applied Statistical Methods
The need for analysts with expertise in big data software is becoming more apparent in 4 today’s society. Unfortunately, the demand for these analysts far exceeds the number 5 available. A potential way to combat this shortage is to identify the software sought by 6 employers and to align this with the software taught by universities. This paper will 7 examine multiple data analysis software – Excel add-ins, SPSS, SAS, Minitab, and R – and 8 it will outline the cost, training, statistical methods/tests/uses, and specific uses within 9 industry for each of these software. It will further explain implications for universities and 10 students (PDF)
Ozgur, Ceyhun; Dou, Min; Li, Yang; and Rogers, Grace, "Selection of Statistical Software for Solving Big Data Problems for Teaching" (2017). Business Faculty Publications. 50.