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  2. Makers Academy - Wikipedia

    en.wikipedia.org/wiki/Makers_Academy

    The selective application process encourages applications from students with significant prior experience. The boot camp offers a limited number of free places to those who cannot afford to pay the usual £8,500 fee (US$8,300) [3] through scholarships, funded by the Department for Education's Skills Bootcamp [4] programme.

  3. List of big data companies - Wikipedia

    en.wikipedia.org/wiki/List_of_big_data_companies

    Alpine Data Labs, an analytics interface working with Apache Hadoop and big data; AvocaData, a two sided marketplace allowing consumers to buy & sell data with ease. Azure Data Lake is a highly scalable data storage and analytics service. The service is hosted in Azure, Microsoft's public cloud

  4. Black Swan Data - Wikipedia

    en.wikipedia.org/wiki/Black_Swan_Data

    Black Swan Data is a London-based technology and data science company that produces a social prediction SaaS platform called Trendscope. [ 1 ] [ 2 ] Trendscope uses predictive data science and proprietary Natural Language Processing to analyze Social data conversations that help businesses identify potential trends and customer behaviors.

  5. Pluralsight - Wikipedia

    en.wikipedia.org/wiki/Pluralsight

    In May 2013, Pluralsight launched a free programming coding bootcamp for kids ages 10 and up to help teach coding in school. [44] In 2014, Pluralsight partnered with the state of Utah's Office of Economic Development to offer Utah K–12 teachers a free one-year subscription to their training library.

  6. 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.

  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. This ...

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