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.
SAS (Statistical Analysis System) is one of the most popular software used in the world of analytics & big data. SAS helps in data management, data cleaning and statistically analysing data. SAS certifications offered by the SAS Institute are highly sought after and globally recognized.
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According to NSE, the upcoming trends in technology Machine Learning(ML) would affect capital markets and create better efficiency in evolving the economy of the country.
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As Hadoop continued to spread through the Valley, a group of developers from Google, Yahoo, Facebook, and BerkeleyDB got together and founded the first Hadoop distributor, Cloudera, in 2008.
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