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Statistics is the mathematical science involving the collection, analysis and interpretation of data. A number of specialties have evolved to apply statistical and methods to various disciplines. Certain topics have "statistical" in their name but relate to manipulations of probability distributions rather than to statistical analysis.
The College of Computing, Data Science, and Society is the newest of the 15 colleges [1] at the University of California, Berkeley and has three academic majors: Computer Science, Data Science, and Statistics. [2] [3] The college was established in 2023. The 2023–24 academic year will be the first academic year for the college. [4]
Finance, digital currency, identity (social science), Web3.0, Smart contracts: Bitcoin, Ethereum: Carbon nanotube field-effect transistor: Research and development Future miniaturization of transistors Cashierless store: Limited commercialization Civic technology: Research and development, projects Smart cities, more responsive government
List of scientific method topics; List of analyses of categorical data; List of fields of application of statistics; List of graphical methods; List of statistical software. Comparison of statistical packages; List of graphing software; Comparison of Gaussian process software; List of stochastic processes topics; List of matrices used in statistics
Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]
Social data scientists use both digitized data [22] (e.g. old books that have been digitized) and natively digital data (e.g. social media posts). [23] Since such data often take the form of found data that were originally produced for other purposes (commercial, governance, etc.) than research, data scraping, cleaning and other forms of preprocessing and data mining occupy a substantial part ...
Smoothing spline — a spline fitted smoothly to noisy data; Blossom (functional) — a unique, affine, symmetric map associated to a polynomial or spline; See also: List of numerical computational geometry topics
Data science process flowchart from Doing Data Science, by Schutt & O'Neil (2013) Analysis refers to dividing a whole into its separate components for individual examination. [ 10 ] Data analysis is a process for obtaining raw data , and subsequently converting it into information useful for decision-making by users. [ 1 ]