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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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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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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According to Semi annual Big Data Analytics spending guide from IDC (International Data Corporation) the big data analytics revenue to reach $260 billion by 2022 with a growth of 11.9% over 2017-2022 forecast period.
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According to the latest report of Tiobe index, python beats C++ in popularity ranking. Python breaks all records and achieving into the top 3 rank into tiobe index report.
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