期刊论文详细信息
SAGE Open | |
Selection of Statistical Software for Solving Big Data Problems: A Guide for Businesses, Students, and Universities | |
Ceyhun Ozgur1  | |
关键词: big data; Excel; Minitab; R; SAS; SPSS; statistical software; | |
DOI : 10.1177/2158244015584379 | |
学科分类:社会科学、人文和艺术(综合) | |
来源: Sage Journals | |
【 摘 要 】
The need for analysts with expertise in big data software is becoming more apparent in todayâs 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 softwareâExcel add-ins, SPSS, SAS, and Râand 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.
【 授权许可】
CC BY
【 预 览 】
Files | Size | Format | View |
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RO201902028146836ZK.pdf | 155KB | download |