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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Hadoop broke a world record in April 2008 and became the fastest system to sort a one terabyte of data in just 209 seconds running on a 910-node cluster.
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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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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.
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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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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