R Programming is one of the most popular language in data science and statistics, It was created by the University of Auckland in New Zealand, professor, Ross Ihaka and Robert in the 1990s as a statistical platform for their students, open-source R has been extended over the decades by thousands of user-created libraries. R programming is used in the industries like banking, finance, Social Netwroking, Analytics etc. Across the globe. Here are few companies : Bank Of America, Facebook , New York Times, Twitter, Amazon, flipcart, Geneact.

Over the past four years,

we’ve seen the preference for open source tools steadily climbing, with 66% of respondents choosing R or Python this year. Python climbed from 20% in 2016 to 26% year2017. (Source: burtchworks)

Data scientists are a type of predictive analytics professional, who applies sophisticated quantitative and computer science skills to both structures and analyze massive stores or continuous streams of unstructured data, with the intent to derive insights and prescribe action. The depth and breadth of data scientists’ coding skills distinguish them from other predictive analytics professionals and allows them to exploit data regardless of its source, size, or format. Through the use of one or more general-purpose coding languages and data infrastructures, data scientists can tackle problems that are made very difficult by the size and disorganization of the data.