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  2. 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.

  3. Fullstack Academy - Wikipedia

    en.wikipedia.org/wiki/Fullstack_Academy

    Fullstack Academy's immersive courses (Full-Time, Flex-Immersive, & Summer of Code) use selective admissions procedures, admitting approximately 8% of applicants. [ 14 ] Applicants for the Full-time Immersive, Flex, and Summer of Code programs must pass a fundamental-skills evaluation, technical interview, and in-person interview prior to ...

  4. Coding bootcamp - Wikipedia

    en.wikipedia.org/wiki/Coding_bootcamp

    The first coding bootcamps were opened in 2011. [2] [3]As of July 2017, there were 95 full-time coding bootcamp courses in the United States. [4] [needs update] The length of courses typically ranges from between 8 and 36 weeks, with most lasting 10 to 12 (averaging 12.9) weeks.

  5. Analytics - Wikipedia

    en.wikipedia.org/wiki/Analytics

    Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment. [8] It is a subset of data analytics, which takes multiple data analysis processes to focus on why an event happened and what may happen in the future based on the previous data.

  6. 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]

  7. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5] It uses techniques and theories drawn from many fields within the context of mathematics , statistics, computer science , information science , and domain knowledge . [ 6 ]

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