What Is Data Science

Asked 20-Jul-2020
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Data Science continues to be a hot topic among professed professionals and associations that are fastening on collecting data and drawing meaningful perceptivity out of it to prop business growth. A lot of data is an asset to any association, but only if it's reused efficiently. The need for storehouses grew multiplex when we entered the age of big data. Until 2010, the major focus was towards erecting a state of the art structure to store this precious data, that would also be penetrated and reused to draw business perceptivity. With fabrics like Hadoop that have taken care of the storehouse part, the focus has now shifted towards recycling this data. Let us see what's data wisdom, and how it fits into the current state of big data and businesses. 

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What Is Data Science

What is Data Science?

Data science is the term of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. Data science practitioners apply machine learning algorithms to numbers, text, images, video, audio, and more to provide artificial intelligence (AI) systems to perform tasks that ordinarily require human intelligence. In return, these systems generate insights which analysts and business users can translate into tangible business value.
What Is Data Science
Why Data Science is Important?
More and more companies are coming to realize the importance of data science, AI, and machine learning. Regardless of industry or size, organizations that wish to stay competitive in the age of huge data need to efficiently develop and implement data science capabilities or risk being left behind.