Using statistics, scientific computing, and scientific procedures, processes, algorithms, and systems, data scientists can extract or extrapolate knowledge and insights from noisy, structured, and unstructured data. Data science is an interdisciplinary academic field
Additionally, data science incorporates subject-matter expertise from the underlying application domain, such as natural sciences, IT, and medical.It is possible to categorise data science as a science, a research paradigm, a research method, a discipline, a workflow, and a career due to its complexity.
The term "data science" refers to a "concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyse actual phenomena" with data. In the context of mathematics, statistics, computer science, information science, and domain knowledge, it makes use of methods and theories from a variety of disciplines.Data science, however, differs from information science and computer science. Jim Grey, a recipient of the Turing Award, said that "everything about science is changing because of the impact of information technology" and the data deluge and saw data science as a "fourth paradigm" of science (empirical, theoretical, computational, and now data-driven).
An expert who writes programming code and combines it with statistical understanding to glean insights from data is known as a data scientist.