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.