About: Data science

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Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains. Data science is related to data mining, machine learning and big data. A data scientist is someone who creates programming code, and combines it with statistical knowledge to create insights from data.

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rdfs:label	Data science (en)
rdfs:comment	Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains. Data science is related to data mining, machine learning and big data. A data scientist is someone who creates programming code, and combines it with statistical knowledge to create insights from data. (en)
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sameAs	Data science Data science
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Subject	Computational fields of study Computer occupations Data analysis Information science
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gold:hypernym	Field
prov:wasDerivedFrom	http://en.wikipedia.org/wiki/Data_science?oldid=1074773507&ns=0
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Link from a Wikipage to another Wikipage	Logistic regression Machine learning Support-vector machine American Statistical Association Andrew Gelman Basic research Bayes' theorem Ben Fry Big data Montpellier 2 University Statistics Turing Award Unstructured data C. F. Jeff Wu Computational fields of study Computer occupations Data analysis Information science David Donoho Dimensionality reduction Distributed computing Domain knowledge Jeff Hammerbacher Jim Gray (computer scientist) Naive Bayes classifier Peter Naur DJ Patil Decision tree Human–computer interaction Line fitting Cluster analysis Columbia University Committee on Data for Science and Technology Communication Complex system Computational science Computer science Nate Silver Nathan Yau National Science Board Data analysis Data mining Data sonification Database Empirical research Informatics Information explosion Information science Information technology Information visualization Interdisciplinarity International Journal of Population Data Science John Tukey Vasant Dhar Knowledge Mathematics William S. Cleveland
has abstract	Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights 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 analyze 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. (en)
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is differentFrom of	Information science
is Wikipage redirect of	History of data science Security data science Data-driven science Data Science Data driven science Data duck Data scientist Data scientists
is Link from a Wikipage to another Wikipage of	Forward chaining Foster Provost Fractal analysis Frances Haugen Gregory Piatetsky-Shapiro Group 42 (Emirati company)

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