one can go to R software which is absolutely free and covers a very vast range of statistical analysis. Download R and R Studio and install it. Its a bit tricky to start with it but with time you will feel that its an amazing and dynamic platform. There are a lot of video tutorials on youtube which will help you from installation to any type of data analysis. there are few specialized software which are suitable for special needs but R is enough for a very wide range of data analysis. m attaching a very good link of a youtube series for Rtutorial. have a nice time
It seems like each substantive area has its own favorite general statistical package. These general packages like SAS, SYSTAT, STATA, MINITAB, SPSS, and SHAZAM are widely available, they are all expensive other than student or trial editions. They are worth trying out to see what you like and don't like, but be aware, that many are time limited or size limited. For some, a program like MYSTAT (a trial/student/demo version of SYSTAT is all that people need for a lifetime. Probably the most complete general package is now "R" and as others have mentioned is free (open source.) There is a large community of people supporting it and making contributions to "R" so that it should be around for a long time to come. I think that we will be seeing many new algorithms published in "R" before they are available in programs other than specialty programs. Sometimes, there are routines and functions that are not well duplicated in other programs, and you really need to have access to those if you are going to work in that area. For the most part, those can be added to "R".
For me, I would look to see how good the database engine is, what is the scope of the statistics engine, how are missing values handled, how easily can I modify the statistics engine, is there a jackknife or bootstrap function, how good is the report generator, and what quality of graphical output is available for both screen display and for output to some publication medium. "R" is the best all-around that I have found. My "go-to \" program is SYSTAT, not because it is the best, but because it is familiar and unencumbered by a lot of fluff and it is a familiar old friend.
If your major is statistics, it is prefer to use R program which is free, but, if your major is social science, then you can use another statistical program like SPSS and Minitab.