This is a free alternative for SPSS, and a pretty mature project which can be used for regression analysis, non-parametric tests, T-tests, cluster analysis and much more. This is something we definitely recommend you learn, because it is slow-ly becoming the standard in many professional data analytics communities. Learning it will require a bit of programming knowledge, but there are plenty of tutorials and online courses available for that purpose. It has a large community and numerous packages are developed for it. It can be used for many different types of analysis. R is by far the most widely used free statistical environment. Here we have created a list of the most popular free software for statistical analysis.ฤก) The R Project for Statistical Computing Luckily, there are plenty of free alternatives that can be used instead. These programs are expensive and not everyone can afford them. Unfortunately, for a more serious analysis users need specialized software such as SPSS, Eviews or Stata. The first step in the process requires turning on the Statistical Analysis feature, after which you can perform linear regression, ANOVA and much more. We have already explained how Microsoft Excel can be used as a basic statistical analysis software.
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