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  2. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    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]

  3. Data Science and Predictive Analytics - Wikipedia

    en.wikipedia.org/wiki/Data_Science_and...

    The significantly reorganized revised edition of the book (2023) [2] expands and modernizes the presented mathematical principles, computational methods, data science techniques, model-based machine learning and model-free artificial intelligence algorithms. The 14 chapters of the new edition start with an introduction and progressively build ...

  4. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    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 ]

  5. Social data science - Wikipedia

    en.wikipedia.org/wiki/Social_data_science

    Social data science is an interdisciplinary field that addresses social science problems by applying or designing computational and digital methods.As the name implies, Social Data Science is located primarily within the social science, but it relies on technical advances in fields like data science, network science, and computer science.

  6. Category:Data science - Wikipedia

    en.wikipedia.org/wiki/Category:Data_science

    Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract or extrapolate knowledge and insights from noisy, structured and unstructured data, and apply knowledge from data across a broad range of application domains.

  7. Data engineering - Wikipedia

    en.wikipedia.org/wiki/Data_engineering

    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.

  8. Data sovereignty - Wikipedia

    en.wikipedia.org/wiki/Data_sovereignty

    Data sovereignty is the idea that data is subject to the laws and governing structures of the nation where they are collected. In other words, a country is able to control and access the data that is generated in its territories. [1]

  9. Category:Data scientists - Wikipedia

    en.wikipedia.org/wiki/Category:Data_scientists

    American data scientists (45 P) E. Data engineers (4 P) Pages in category "Data scientists" The following 69 pages are in this category, out of 69 total.