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  2. 8 Certifications That Can Boost Your Tech-Based Side Gig - AOL

    www.aol.com/8-certifications-boost-tech-based...

    Google Professional Data Engineer Certification. ... topics related to running data engineering pipelines on Google Cloud, data system designing, managing data workloads, data analytics and so on ...

  3. Coursera - Wikipedia

    en.wikipedia.org/wiki/Coursera

    Coursera Inc. (/ k ər ˈ s ɛ r ə /) is an American global massive open online course provider. It was founded in 2012 [2] [3] by Stanford University computer science professors Andrew Ng and Daphne Koller. [4] Coursera works with universities and other organizations to offer online courses, certifications, and degrees in a variety of subjects.

  4. Google Digital Garage - Wikipedia

    en.wikipedia.org/wiki/Google_Digital_Garage

    Google Digital Garage is a nonprofit program designed to help people improve their digital skills. [1] It offers free training, courses and certifications [ 2 ] [ 3 ] via an online learning platform and educational partnerships.

  5. Google Analytics - Wikipedia

    en.wikipedia.org/wiki/Google_Analytics

    Google Analytics 360 includes seven main products: Analytics, Tag Manager, Optimize, Data Studio, Surveys, Attribution, and Audience Center. [37] In October 2017 a new methodology to collect data for Google Analytics was announced, called Global Site Tag, or gTag.js. Its stated purpose was to unify the tagging system to simplify implementation.

  6. Massive open online course - Wikipedia

    en.wikipedia.org/wiki/Massive_open_online_course

    The courses are free if one does not want a certificate, i.e. audit mode. For certification the platform charges approximately ₹1,000 (approximately US$ 12). A course billed as "Asia's first MOOC" given by the Hong Kong University of Science and Technology through Coursera starting in April 2013 registered 17,000 students. About 60% were from ...

  7. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]

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