Data science and analytics tools are evolving and can be broadly classified into two classes: tools for those techies with high levels of expertise in programming and profound knowledge of statistics and computer science like R, SAS, SPSS, etc.; and tools for common audiences that can automate the general analysis and daily reports like Rapid Miner, DataRPM, Weka, etc. displayed in the currently prevalent languages, tools, and software that are used for various data analytics applications.
