Python is the top programming language. A python programmer can get jobs easily in a wide range of industries. Since Python is highly adaptable and can be easily integrated into a web application, python programmers are able to find more economic prospects.
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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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SAS, R-programming, ML, Python, Hadoop, and Spark are the top Analytical tools which are dominating the entire Big data market. Learn these Data dominated tools by industry experts and avail 25% to avail 25% off on course fee by registering before 15th August.
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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 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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Python was developed by Guido Van Rossum in the late 1980s and early 1990s at the National Research Institute for Mathematics and Computer science in the Netherlands.
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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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