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  3. Google Analytics - Wikipedia

    en.wikipedia.org/wiki/Google_Analytics

    Google Analytics provides an SDK that allows gathering usage data from iOS and Android apps, known as Google Analytics for Mobile Apps. [5] Google Analytics has undergone many updates since its inception and is currently on its 4th iteration—GA4. [6] GA4 is the default Google Analytics installation and is the renamed version for the (App ...

  4. Social media - Wikipedia

    en.wikipedia.org/wiki/Social_media

    Social media. Social media are interactive technologies that facilitate the creation, sharing and aggregation of content, ideas, interests, and other forms of expression through virtual communities and networks. [1] [2] Common features include: [2] Online platforms that enable users to create and share content and participate in social networking.

  5. This beginner-friendly guide to Google Analytics 4 is on sale ...

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    TL;DR: The Google Analytics 4 bootcamp bundle is on sale for £24.62, saving you 95% on list price.For content creators, business owners, anyone aiming for a job in marketing, and plenty of other ...

  6. Google Docs - Wikipedia

    en.wikipedia.org/wiki/Google_Docs

    Google Docs is an online word processor included as part of the free, web-based Google Docs Editors suite offered by Google, which also includes Google Sheets, Google Slides, Google Drawings, Google Forms, Google Sites and Google Keep. Google Docs is accessible via an internet browser as a web-based application and is also available as a mobile ...

  7. Knowledge graph - Wikipedia

    en.wikipedia.org/wiki/Knowledge_graph

    Example conceptual diagram. In knowledge representation and reasoning, a knowledge graph is a knowledge base that uses a graph -structured data model or topology to represent and operate on data. Knowledge graphs are often used to store interlinked descriptions of entities – objects, events, situations or abstract concepts – while also ...

  8. 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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