Document Type
Article
Publication Date
4-2017
Journal Title
Journal of Modern Applied Statistical Methods
Volume
16
Issue
1
Abstract
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)
Recommended Citation
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.
https://scholar.valpo.edu/cba_fac_pub/50