With its increasing relevance across various sectors, the global demand for big data, analytics, and data science professionals are on a rise. Piling data along with a surge in fields such as AI, machine learning, and data science, has made analytics the most sought-after professions in India as well. There is an increase in demand for highly skilled professionals and companies are on a constant lookout for professionals who can fill the gap.
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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 NSE, the upcoming trends in technology Machine Learning(ML) would affect capital markets and create better efficiency in evolving the economy of the country.
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As Hadoop continued to spread through the Valley, a group of developers from Google, Yahoo, Facebook, and BerkeleyDB got together and founded the first Hadoop distributor, Cloudera, in 2008.
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The average salary for python professionals was Rs 10.5 lakh in 2017 and is expected to reach Rs 13.8 lakh per annum by the end of 2018. It clearly denotes 30% increase in salary. This is a loud call out for all data aspirants.
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