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  2. Coding bootcamp - Wikipedia

    en.wikipedia.org/wiki/Coding_bootcamp

    In 2016, there were concerns that partnering private coding bootcamps with federal financial aid could attract less reputable organizations to create coding bootcamp programs. [16] Barriers to entry and exit mean established schools face less competition than in a free market, which can lead to deterioration of quality, and increase in prices.

  3. Fullstack Academy - Wikipedia

    en.wikipedia.org/wiki/Fullstack_Academy

    Fullstack Academy is an immersive software engineering coding bootcamp located in New York City. [1] Students of the full-time flagship course learn full stack JavaScript over the course of a 13-week, on-campus program.

  4. freeCodeCamp - Wikipedia

    en.wikipedia.org/wiki/FreeCodeCamp

    freeCodeCamp was launched in October 2014 and incorporated as Free Code Camp, Inc. The founder, Quincy Larson, is a software developer who took up programming after graduate school and created freeCodeCamp as a way to streamline a student's progress from beginner to being job-ready.

  5. Data engineering - Wikipedia

    en.wikipedia.org/wiki/Data_engineering

    Around the 1970s/1980s the term information engineering methodology (IEM) was created to describe database design and the use of software for data analysis and processing. [3] [4] These techniques were intended to be used by database administrators (DBAs) and by systems analysts based upon an understanding of the operational processing needs of organizations for the 1980s.

  6. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data science process flowchart from Doing Data Science, by Schutt & O'Neil (2013) Analysis refers to dividing a whole into its separate components for individual examination. [10] Data analysis is a process for obtaining raw data, and subsequently converting it into information useful for decision-making by users. [1]

  7. Business analytics - Wikipedia

    en.wikipedia.org/wiki/Business_analytics

    The difficulty in ensuring data quality is integrating and reconciling data across different systems, and then deciding what subsets of data to make available. [ 3 ] Previously, analytics was considered a type of after-the-fact method of forecasting consumer behavior by examining the number of units sold in the last quarter or the last year.

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