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  2. Résumé - Wikipedia

    en.wikipedia.org/wiki/Résumé

    An example of a résumé with a common format with the name John Doe. 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 ...

  3. 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]

  4. 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.

  5. Get breaking Finance news and the latest business articles from AOL. From stock market news to jobs and real estate, it can all be found here.

  6. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Example for the usefulness of exploratory data analysis as demonstrated using the Datasaurus dozen data set Data science is at the intersection of mathematics, computer science and domain expertise. Data science and data analysis are both important disciplines in the field of data management and analysis, but they differ in several key ways.

  7. Résumé parsing - Wikipedia

    en.wikipedia.org/wiki/Résumé_parsing

    One of the areas resume parsing software is working on expanding into is performing contextual analysis on the information in the resume rather than purely extracting it. One employee at a parsing company said “a parser needs to classify data, enrich it with knowledge from other sources, normalize data so it can be used for analysis and allow ...

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