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  2. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. The data may also be collected from sensors in the environment, including traffic cameras, satellites, recording devices, etc.

  3. Analytical skill - Wikipedia

    en.wikipedia.org/wiki/Analytical_skill

    It is imperative in inferring information from data and adhering to a conclusion or decision from that data. Data analysis can stem from past or future data. Data analysis is an analytical skill, commonly adopted in business , as it allows organisations to become more efficient, internally and externally, solve complex problems and innovate .

  4. Analyst - Wikipedia

    en.wikipedia.org/wiki/Analyst

    Data analyst, retrieves, organizes and analyzes information from various sources to help an organization achieve business goals; Financial analyst, analyzes securities and business equity in economics and finance; Industry analyst, performs market research on segments of industries to identify trends in business and finance

  5. Ample job opportunities, low unemployment and reasonable commute times make this the top U.S. state for job seekers, analysis finds. ... New Census data finds the typical household earned $80,610 ...

  6. 50 Professionals Share The Popular Misconceptions People Have ...

    www.aol.com/50-professionals-share-popular...

    1. “You could be an analyst.” or 2. You could be a “consultant.” Myth: There’s a category … and you could have a career doing that … Truth: Example: An analyst is not a useful ...

  7. 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 ...