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Data science: An action plan for expanding the technical areas of the field of statistics
Author(s) -
Cleveland William S.
Publication year - 2014
Publication title -
statistical analysis and data mining: the asa data science journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.381
H-Index - 33
eISSN - 1932-1872
pISSN - 1932-1864
DOI - 10.1002/sam.11239
Subject(s) - plan (archaeology) , action plan , work (physics) , government (linguistics) , action (physics) , value (mathematics) , field (mathematics) , data science , computer science , management science , engineering , geography , management , mathematics , economics , quantum mechanics , pure mathematics , physics , archaeology , mechanical engineering , linguistics , philosophy , machine learning
An action plan to expand the technical areas of statistics focuses on the data analyst. The plan sets out six technical areas of work for a university department and advocates a specific allocation of resources devoted to research in each area and to courses in each area. The value of technical work is judged by the extent to which it benefits the data analyst, either directly or indirectly. The plan is also applicable to government research labs and corporate research organizations.