R is an implementation of the S programming language combined with lexical scoping semantics inspired by Scheme. R is named partly after the first names of the first two R authors and partly as a play on the name of S. The project was conceived in 1992, with an initial version released in 1995.
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Today’s travelers are creating more and more digital data, helping savvy tourism operators refine their product and grow their revenue.
Many industry players are now using data analytics services to manage and process their marketing information – tracking patterns, predicting behaviors and organizing data into clear and detailed reports.
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The growth and popularity of R programming have been helping data-driven organizations succeed for years. Nearly every industry now sees data and analytics as a strategic competitive advantage, and R is the language of choice for the data analyst. Because of its popularity, not only is R helping drive success for companies using it, it’s driving its success as the industry standard for using data effectively. Here are a few examples of how companies use R to drive their bottom line.
Immediate requirement for Machine Learning, R Programming, and Python Trainer.
Exp: 0 - 1 years
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