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  2. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]

  3. Data Desk - Wikipedia

    en.wikipedia.org/wiki/Data_Desk

    In 1997, Data Desk was released for Windows, and included a General Linear Model (GLM), multivariate statistics, and nonlinear curve fitting. DD/XL is an add-in for Microsoft Excel that adds Data Desk Functionality directly to the Spreadsheet. Data Desk's developer, Data Description, pioneered linked graphic displays including a 3-D rotating ...

  4. Microsoft Excel - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Excel

    Microsoft Excel is a spreadsheet editor developed by Microsoft for Windows, macOS, Android, iOS and iPadOS.It features calculation or computation capabilities, graphing tools, pivot tables, and a macro programming language called Visual Basic for Applications (VBA).

  5. QSR International - Wikipedia

    en.wikipedia.org/wiki/QSR_International

    The first generation of computer-assisted qualitative data analysis (QDA) software emerged in the mid to late 1980s and involved basic word processors and databases with a focus on data management. The programs were designed to help qualitative researchers manage unstructured information like open-ended surveys, focus groups, field notes or ...

  6. Exploratory data analysis - Wikipedia

    en.wikipedia.org/wiki/Exploratory_data_analysis

    Tukey defined data analysis in 1961 as: "Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data."

  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. Open Syllabus Project - Wikipedia

    en.wikipedia.org/wiki/Open_Syllabus_Project

    The Open Syllabus Project (OSP) is an online open-source platform that catalogs and analyzes millions of college syllabi. [3] Founded by researchers from the American Assembly at Columbia University , the OSP has amassed the most extensive collection of searchable syllabi.

  9. Data collection - Wikipedia

    en.wikipedia.org/wiki/Data_collection

    Data collection and validation consist of four steps when it involves taking a census and seven steps when it involves sampling. [3] A formal data collection process is necessary, as it ensures that the data gathered are both defined and accurate. This way, subsequent decisions based on arguments embodied in the findings are made using valid ...

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