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  2. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    The data is necessary as inputs to the analysis, which is specified based upon the requirements of those directing the analytics (or customers, who will use the finished product of the analysis). [ 14 ] [ 15 ] The general type of entity upon which the data will be collected is referred to as an experimental unit (e.g., a person or population of ...

  3. Analytics - Wikipedia

    en.wikipedia.org/wiki/Analytics

    Analytics is the systematic computational analysis of data or statistics. [1] It is used for the discovery, interpretation, and communication of meaningful patterns in data, which also falls under and directly relates to the umbrella term, data science. [2] Analytics also entails applying data patterns toward effective decision-making.

  4. DataViva - Wikipedia

    en.wikipedia.org/wiki/DataViva

    Inspired by The Observatory of Economic Complexity, DataViva is an open data, [3] open-source, [4] and free to use tool. It was developed in a partnership with Datawheel , co-founded by MIT Media Lab Professor César Hidalgo, and is maintained by the Government of Minas Gerais .

  5. Business intelligence - Wikipedia

    en.wikipedia.org/wiki/Business_intelligence

    Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information. [1] Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text ...

  6. Big data - Wikipedia

    en.wikipedia.org/wiki/Big_data

    Big data in health research is particularly promising in terms of exploratory biomedical research, as data-driven analysis can move forward more quickly than hypothesis-driven research. [88] Then, trends seen in data analysis can be tested in traditional, hypothesis-driven follow up biological research and eventually clinical research.

  7. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5] It uses techniques and theories drawn from many fields within the context of mathematics , statistics, computer science , information science , and domain knowledge . [ 6 ]

  8. Thesis - Wikipedia

    en.wikipedia.org/wiki/Thesis

    In India the thesis defense is called a viva voce (Latin for "by live voice") examination (viva in short). Involved in the viva are two examiners, one guide (student guide) and the candidate. One examiner is an academic from the candidate's own university department (but not one of the candidate's supervisors) and the other is an external ...

  9. Social data analysis - Wikipedia

    en.wikipedia.org/wiki/Social_data_analysis

    When talking about social data analytics, there are a number of factors it's important to keep in mind (which we noted earlier): [1] Sophisticated Data Analysis: what distinguishes social data analytics from sentiment analysis is the depth of the analysis. Social data analysis takes into consideration a number of factors (context, content ...

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