Software for data analysis: Programming with R John Chambers
Publisher: Springer

In program above, we are printing only the first line record to analyze the JSON notation. Two years experience writing and using SAS (Statistical Analysis Software) programs to perform complex statistical analyses, working with databases, SAS datasets, relational databases,. R is of object-oriented programming style with the flexible chart plotting ability, inbuilt with several statistics and mathematics analysis capabilities. At one end of the spectrum are projects that have absolutely no prior information but . Computer programming in Windows or UNIX environments. Download and Install scipy: http://downloads.sourceforge.net/project/scipy/scipy/0.12.0/scipy-0.12.0-win32-superpack-python2.7.exe?r=http%3A%2F%2Fsourceforge.net%2Fprojects%2Fscipy%2Ffiles%2F&ts=1369374983&use_mirror=garr. Statistical software are specialized computer programs for statistical analysis. In this course you will learn how to program in R and how to use R for effective data analysis. There is also a range of pre-existing data to base these analyses on. In this tutorial, I will be listing the Python code for data analysis using MapReduce programming model. In this intensive 17 days course, students will learn how to survive in a Linux environment, get hands-on experience in two widely used programming languages (Perl and R), and statistical data analysis. R statistical software and SQL. ADaMSoft – a generalized statistical software with Data mining algorithms and methods for data management.