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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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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Instagram is the largest photo sharing social media platform. 100 million photos and videos are uploaded on Instagram every day. A massive amount of data is generated and it is not possible for humans to analyze that amount of data. So they use the Python programming language to analyze data.
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A group of Space Center scientists developed a method using Machine Learning to predict plant growth. It will improve the efficiency of farming.
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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.