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Data Science

Join 670 other students
Computer Basic
  • Free Course

  • Google

  • 2-3 Hours

  • Assessment

  • Certification

  • 50 Pts

  • Description
  • Outcome
  • Certification
  • Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.[1][2] Data science is the same concept as data mining and big data: "use the most powerful hardware, the most powerful programming systems, and the most efficient algorithms to solve problems".

    Data science is a "concept to unify statistics, data analysis, machine learning and their related methods" in order to "understand and analyze actual phenomena" with data.[4] It employs techniques and theories drawn from many fields within the context of mathematics, statistics, 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.[5][6] In 2015, the American Statistical Association identified database management, statistics and machine learning, and distributed and parallel systems as the three emerging foundational professional communities..

  • six technical areas
    multidisciplinary investigations
    models and methods for data
    computing with data
    pedagogy
    tool evaluation
    theory.

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