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Data Science Evolution.

What is Data Science?? Curious to know What is data science? If you were to look at the terms literally, it means the science that goes into studying data is Data Science. The reality is far from this simple explanation Wikipedia explains…. Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining and big data. Data science is a "concept to unify statistics, data analysis, machine learning and their related methods" in order to "understand and analyze actual phenomena" with data. It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, and information science. Turing award winner Jim Gray imagined data science as a "fourth paradigm" of science (empirical, theoretical, computational and now data-driven) and asserted that "everything about science is changing because of the impact of information technology" and the data deluge. Simple Definition goes…. Data science is the field 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 produce artificial intelligence (AI) systems to perform tasks that ordinarily require human intelligence. In turn, these systems generate insights which analysts and business users can translate into tangible business value. Simply put, data science involves the use of various techniques to understand data and build predictive models to make business decisions.
“Data really powers everything that we do.” – Jeff Weiner, LinkedIn CEO Traditionally, businesses have hired data scientists who manually designed and built algorithms. The data scientists spent much of their time writing code and applying mathematics and statistics. Data scientists had no time to be human. The Venn diagram above is commonly used to explain what a data scientist does, and is so commonly used that when businesses hire data scientists they use a job description that includes repetitive coding, data manipulation, and mathematics. The main focus of data scientists is statistical research and analysis, which is used to choose the right machine learning approach, after which the algorithm is modeled and prototype for testing. The structure is designed to facilitate you in becoming a true talent in the field of Data Science, which makes it easier to bag the best employer in the market. Businesses expect Data Scientists to solve an issue or provide an answer to a query by following the above-mentioned processes. Once valuable insights are gained, they can use robotic analytics and languages like Java to start creating and exploring programs that will ultimately lead a business to achieve its targets and goals.

Data scientists also employ different methods, like online experiments to ensure sustainable growth for businesses. Additionally, they can also help businesses by developing personalized data products that the companies understand, track and monitor unique patterns, customer requirements and other activities. The ultimate goal is always to help businesses make productive and profitable decisions.

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