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  2. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data analysis is a process for obtaining raw data, and subsequently converting it into information useful for decision-making by users. [1] Data is collected and analyzed to answer questions, test hypotheses, or disprove theories. [11] Statistician John Tukey, defined data analysis in 1961, as:

  3. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    For example, a data analyst might analyze sales data to identify trends in customer behavior and make recommendations for marketing strategies. [ 37 ] Data science, on the other hand, is a more complex and iterative process that involves working with larger, more complex datasets that often require advanced computational and statistical methods ...

  4. Analytical skill - Wikipedia

    en.wikipedia.org/wiki/Analytical_skill

    Research involves the collection and analysis of information and data with the intention of founding new knowledge and/or deciphering a new understanding of existing data. [42] Research ability is an analytical skill as it allows individuals to comprehend social implications. [ 40 ]

  5. Curriculum vitae - Wikipedia

    en.wikipedia.org/wiki/Curriculum_vitae

    Example of the kind of extensive CV used in academia, in this case 69 pages long. In English, a curriculum vitae (English: / ... ˈ v iː t aɪ,-ˈ w iː t aɪ,-ˈ v aɪ t iː /, [a] [1] [2] [3] Latin for 'course of life', often shortened to CV) is a short written summary of a person's career, qualifications, and education.

  6. Financial Analyst Cover Letter Example - AOL

    www.aol.com/.../cover-letter-for-financial-analyst

    Many people write cover letters that state that they are good communicators, hard working, loyal, dedicated, team players, etc. While these are important traits for a job seeker, when these words ...

  7. Methods engineering - Wikipedia

    en.wikipedia.org/wiki/Methods_engineering

    Methods quality engineering focuses on increasing quality and reliability. These objectives are met in a five step sequence as follows: Project selection, data acquisition and presentation, data analysis, development of an ideal method based on the data analysis and, finally, presentation and implementation of the method. [3]