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  2. Google Analytics - Wikipedia

    en.wikipedia.org/wiki/Google_Analytics

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

  3. Learning analytics - Wikipedia

    en.wikipedia.org/wiki/Learning_analytics

    Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs.

  4. Analytics - Wikipedia

    en.wikipedia.org/wiki/Analytics

    Google Analytics is an example of a popular free analytics tool that marketers use for this purpose. Those interactions provide web analytics information systems with the information necessary to track the referrer, search keywords, identify the IP address, and track the activities of the visitor. With this information, a marketer can improve ...

  5. Google Search Console - Wikipedia

    en.wikipedia.org/wiki/Google_Search_Console

    Google Search Console Insights, introduced in 2021, is an analytical feature of Google Search Console. It combines data from Google Search Console and Google Analytics , to provide webmasters and content creators with insights into the performance of their content across Google's services.

  6. Web analytics - Wikipedia

    en.wikipedia.org/wiki/Web_analytics

    Web analytics is the measurement, collection, analysis, and reporting of web data to understand and optimize web usage. Web analytics is not just a process for measuring web traffic but can be used as a tool for business and market research and assess and improve website effectiveness.

  7. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data science is an interdisciplinary field [10] focused on extracting knowledge from typically large data sets and applying the knowledge and insights from that data to solve problems in a wide range of application domains. The field encompasses preparing data for analysis, formulating data science problems, analyzing data, developing data ...

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