Data Science is the new rage among tech-enthusiasts of today. We bet you’ve picked up some Data Science jargon at random, and wondered at the din. For most lay folks, anything remotely connected to data invokes the imagery of a digital utopia: a domain of undecipherable digits and symbols working in sync to make the magic happen.
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With the range of tech-based applications expanded to almost any stretch of human occupations, the field of AI is a hothouse for both job-seekers and digital enthusiasts. It is estimated (and not without a degree of apprehension) that AI is yielding more jobs than there are potential recruits to fill the gaps.
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In the information-driven world of today, a career in data science is both in-demand and super-lucrative. Organizations have come to rely on the predictive and exploratory skills of data scientists for growth. This is one reason why data scientists have lately come to command great professional perks with salaries averaging around $116,100 per year.
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R has recently surfaced as one of the most widely used open-source programming languages. With over two million R users worldwide, the language has cemented its spot in the fields of data science and statistics. What’s fascinating is that this number of R users grows by 40% every year.
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Data analysis is now the leading pathway to business optimization. By reviewing raw data, businesses can make informed decisions about critical operations and uncover information valuable to business continuity. This makes data analysts some of the most desired professionals in the world of tech-operations.
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Python is among the top five most popular programming languages in the world. Learning Python in 2021 is a good strategy to land jobs in data science-driven industries. It also can lead to more productivity as compared to the other programming languages.
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