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Data Science 𓆩⚪𓆪|Definition|1st|20251119205401-00-⌔
Data science
Data science is an interdisciplinary academic field1 that uses statistics, scientific computing, scientific methods, processing, scientific visualization, algorithms, coding (like Python, SQL, and R), and systems to extract or extrapolate knowledge from potentially noisy, structured, or unstructured data.2 A data scientist is a professional who creates programming code and combines it with statistical knowledge to summarize data.3
Printed 2026-06-28.
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Link to original Footnotes
Donoho, David (2017). “50 Years of Data Science”. Journal of Computational and Graphical Statistics. 26 (4): 745–766. doi:10.1080/10618600.2017.1384734. S2CID 114558008. ↩
Dhar, V. (2013). “Data science and prediction”. Communications of the ACM. 56 (12): 64–73. doi:10.1145/2500499. S2CID 6107147. Archived from the original on 9 November 2014. Retrieved 2 September 2015. ↩
Davenport, Thomas H.; Patil, D. J. (October 2012). “Data Scientist: The Sexiest Job of the 21st Century”. Harvard Business Review. 90 (10): 70–76, 128. PMID 23074866. Retrieved 18 January 2016. ↩
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