📕 subnode [[@KGBicheno/data science]] in 📚 node [[data-science]]

Data Science

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A picture of a data centre thanks to Taylor Vick for sharing their work on Unsplash

This definition comes from Wikipedia.

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.[1][2] Data science is related to data mining, machine learning and big data.

Data science is a "concept to unify statistics, data analysis and their related methods" in order to "understand and analyze actual phenomena" with data.[3] It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, domain knowledge 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.[4][5] 

The Data Science Venn Diagram

The Data Science Venn Diagram

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