With software development being redefined to work in a data science and machine learning context, this timeless question is gaining new relevance and R and python are being the most used programming language for machine learning and data science.
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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 IEEE Spectrum's fifth annual interactive ranking, Python remains the most popular programming language. Python programming language is massive popularity. It's a loud call out for those who wants to make a career in Data Science. To get Python training contact us@ 080 48147185 / 40952721
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.
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.
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Date: 19th July 2018
Time: 10:00 am onwards
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