Data science is an interdisciplinary field that uses scientific methods, processes,
algorithms and systems to extract or extrapolate knowledge and insights from noisy,
structured and unstructured data, and apply knowledge from data across a broad range
of application domains. Data science is related to data mining, machine learning and big
data.
Data science is a "concept to unify statistics, data analysis, informatics, and their related
methods" in order to "understand and analyse actual phenomena" with data. It uses
techniques and theories drawn from many fields within the context of mathematics,
statistics, computer science, information science, and domain knowledge. However, data
science is different from 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.
A data scientist is someone who creates programming code and combines it with
statistical knowledge to create insights from data.
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