Excel: Without a doubt, the most familiar tool for data analysis. Excel is useful for sorting and preparing your data, but the out-of-the-box charts and visualizations are ugly. However, with a little customization and imagination, Excel can create surprising results. Users can also export charts from Excel and use them as a starting point in Illustrator or Inkskape.
R:An open-source statistical computing and graphics software that runs on UNIX platforms, Windows and MacOS. Requires some programming.
Wolfram Mathematica: The world's most powerful integrated computation system for non-professional use by hobbyists and enthusiasts alike. Runs on Windows, Mac, and Linux operating systems.
SPSS: IBM SPSS Statistics is an integrated family of products that addresses the entire analytical process, from planning to data collection to analysis, reporting and deployment.
Stata:Data Analysis and Statistical Software for Professionals.
SAS:SAS Analytics provide an integrated environment for predictive and descriptive modeling, data mining, text analytics, forecasting, optimization, simulation, experimental design and more.