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.
In this advertising market, Google using R Programming to calculate the ROI on advertising campaign. To know more about R Programming contact us@ 080 48147185 / 40952721
The global Data Analytics market in Banking sector was $7.19 billion in 2017 and it is expected to reach $14.83 million by 2023, growing at a CAGR of 12.97% between (2018-2023).
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Analytics, data science and big data industry in India is currently estimated to be $2.71 billion annually in revenues, growing at a healthy rate of 33.5% CAGR. Of the annual inflow to the analytics industry, almost 11% can be attributed to advanced analytics, predictive modeling, and data science.
To know about analytics and the different tools used in Analytics, join the session on Analytics with SAS and R-programing being the main topics of the discussion.
Date: 19th July 2018
Time: 10:00 am onwards
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According to job report 2018 of LinkedIn, job openings for Data Scientists is increasing by 45% year-on-year basis. It's a loud call out for all data aspirants.
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