Are you a beginner seeking for the best programming language to become a data scientists? SAS (34%), R Programming & Python contributes (33%), these are top 3 popular Analytical tools used by the Data Scientists.
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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.
The global hadoop market is witnessing a massive growth in past 5 years and trend continues. According to study report from hadoop, it is growing at a CAGR of 39.49% during the period 2017-2021.
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Spam may seem like an old cyber threat that appears to be outdated but it is evolving. It looks like machine learning will be used now and in the future to mitigate threats and combat spam.
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