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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]
How Data Happened: A History from the Age of Reason to the Age of Algorithms is a 2023 non-fiction book written by Columbia University professors Chris Wiggins and Matthew L. Jones. The book explores the history of data and statistics from the end of the 18th century to the present day. [1]
The development of statistical reasoning was closely associated with the development of inductive logic and the scientific method, which are concerns that move statisticians away from the narrower area of mathematical statistics. Much of the theoretical work was readily available by the time computers were available to exploit them.
The Science of Computing: Shaping a Discipline. Taylor and Francis / CRC Press. ISBN 978-1-4822-1769-8. Kak, Subhash : Computing Science in Ancient India; Munshiram Manoharlal Publishers Pvt. Ltd (2001) The Development of Computer Science: A Sociocultural Perspective Matti Tedre's Ph.D. Thesis, University of Joensuu (2006) Ceruzzi, Paul E. (1998).
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 ]
Data engineering refers to the building of systems to enable the collection and usage of data. This data is usually used to enable subsequent analysis and data science, which often involves machine learning. [1] [2] Making the data usable usually involves substantial compute and storage, as well as data processing.
HuffPost Data Visualization, analysis, interactive maps and real-time graphics. Browse, copy and fork our open-source software.; Remix thousands of aggregated polling results.
Data science is a field that uses scientific and computing tools to extract information and insights from data, driven by the increasing volume and availability of data. [46] Data mining , big data , statistics, machine learning and deep learning are all interwoven with data science.