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  2. Google Analytics - Wikipedia

    en.wikipedia.org/wiki/Google_Analytics

    Google Analytics. Google Analytics is a web analytics service offered by Google that tracks and reports website traffic and also the mobile app traffic & events, currently as a platform inside the Google Marketing Platform brand. [1] Google launched the service in November 2005 after acquiring Urchin. [2] [3]

  3. This beginner-friendly guide to Google Analytics 4 is ... - AOL

    www.aol.com/beginner-friendly-guide-google...

    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 ...

  4. Learning analytics - Wikipedia

    en.wikipedia.org/wiki/Learning_analytics

    Web analytics, tools such as Google Analytics report on web page visits and references to websites, brands and other key terms across the internet. The more "fine grain" of these techniques can be adopted in learning analytics for the exploration of student trajectories through learning resources (courses, materials, etc.).

  5. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. [1] Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science ...

  6. Google releases AI skills course in education push - AOL

    www.aol.com/finance/google-releases-ai-skills...

    Google has launched an AI education initiative to teach more Americans how to use the technology. The roughly 10-hour course is available online on Coursera for $49, and it comes with a ...

  7. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    A cloud-based architecture for enabling big data analytics. Data flows from various sources, such as personal computers, laptops, and smart phones, through cloud services for processing and analysis, finally leading to various big data applications. Cloud computing can offer access to large amounts of computational power and storage.

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