{"id":888,"date":"2022-05-02T17:27:27","date_gmt":"2022-05-02T17:27:27","guid":{"rendered":"https:\/\/smartitforce.com\/?page_id=888"},"modified":"2022-05-02T17:28:22","modified_gmt":"2022-05-02T17:28:22","slug":"data-science","status":"publish","type":"page","link":"http:\/\/smartitforce.com\/index.php\/data-science\/","title":{"rendered":"Data Science"},"content":{"rendered":"

Data science is a multidisciplinary field that employs scientific methods, procedures, algorithms, and systems to extract information and insights from structured and unstructured data, as well as to apply that knowledge and actionable insights across a wide range of application areas. Data mining, machine learning, and big data are all connected to data science.<\/p>\n

Data science is a \u201cconcept that unifies statistics, data analysis, informatics, and related approaches\u201d in order to use data to \u201cunderstand and analyse actual occurrences.\u201d Within the framework of mathematics, statistics, computer science, information science, and domain knowledge, it employs techniques and theories from a variety of domains. Jim Gray, the winner of the Turing prize, envisioned data science as a \u201cfourth paradigm\u201d of research (empirical, theoretical, computational, and now data-driven), claiming that \u201ceverything about science is data-driven.\u201d<\/p>\n<\/div><\/div>