The technology is witnessing extraordinary changes. Nowadays, journalists are using ML for analyzing massive sets of data and the combination of ML and journalism provides deep analysis reports.
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In Gartner's magic Quadrant, SAS named as a leader for Multi-channel marketing hubs. it helps organisations to track, manage and analyze their customer.
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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.
According to the latest report of Tiobe index, python beats C++ in popularity ranking. Python breaks all records and achieving into the top 3 rank into tiobe index report.
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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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