According to job report 2018 of LinkedIn, job openings for Data Scientists is increasing by 45% year-on-year basis. It's a loud call out for all data aspirants.
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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.
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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India is considering the military usage of Artificial Intelligence (AI) for national security and military strategic purposes and the government is studying a report recommending the dual use of technology in aviation, naval, land systems, cyber, nuclear and biological warfare.
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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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Artificial Intelligence & Data Analytics has helped Max Life Insurance to increase their conversion rates, ability to launch new product, features faster than ever before and continuously engage with the customer.
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