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  2. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    A data product is a computer application that takes data inputs and generates outputs, feeding them back into the environment. [41] It may be based on a model or algorithm. For instance, an application that analyzes data about customer purchase history, and uses the results to recommend other purchases the customer might enjoy. [42] [13]

  3. Analytical skill - Wikipedia

    en.wikipedia.org/wiki/Analytical_skill

    Inferential analysis analyses a sample from complete data to compare the difference between treatment groups. [53] Multiple conclusions are constructed by selecting different samples. Inferential analysis can provide evidence that, with a certain percentage of confidence, there is a relationship between two variables.

  4. Résumé - Wikipedia

    en.wikipedia.org/wiki/Résumé

    A résumé or resume (or alternatively resumé), [a] [1] is a document created and used by a person to present their background, skills, and accomplishments. Résumés can be used for a variety of reasons, but most often are used to secure new jobs, whether in the same organization or another.

  5. Résumé parsing - Wikipedia

    en.wikipedia.org/wiki/Résumé_parsing

    One executive recruiting company tested three resume parsers and humans to compare the accuracy in data entry. They ran 1000 resumes through the resume parsing software and had humans manually parse and enter the data. The company brought in a third party to evaluate how the humans did compared to the software.

  6. Application for employment - Wikipedia

    en.wikipedia.org/wiki/Application_for_employment

    An application for employment is a standard business document that is prepared with questions deemed relevant by employers.It is used to determine the best candidate to fill a specific role within the company.

  7. Business analyst - Wikipedia

    en.wikipedia.org/wiki/Business_analyst

    A business analyst should have knowledge in IT and/or business, but the combination of both of these fields is what makes a business analyst such a valuable asset to the business environment. As a minimum standard, a business analyst should have a "general understanding of how systems, products and tools work" in the business environment. [2]

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