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  3. 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.

  4. Google Cloud Platform - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Platform

    Java. C++. Python. Go. Ruby. ASN. 396982. Google Cloud Platform ( GCP ), offered by Google, is a suite of cloud computing services that provides a series of modular cloud services including computing, data storage, data analytics, and machine learning, alongside a set of management tools. [2]

  5. Google Ads - Wikipedia

    en.wikipedia.org/wiki/Google_Ads

    Google Ads is an online advertising platform developed by Google, where advertisers bid to display brief advertisements, service offerings, product listings, and videos to web users. [2] It can place ads in the results of search engines like Google Search (the Google Search Network), mobile apps, videos, and on non-search websites.

  6. Earn a Google Analytics certification for just $10 - AOL

    www.aol.com/news/earn-google-analytics...

    SEE ALSO: 8 of the best laptops for businessFor instance, this Google Analytics certification course hosted by Udemy is a great way to get some new skills under your belt (ones that are in high ...

  7. To understand the web, you need to understand Google ... - AOL

    www.aol.com/understand-understand-google...

    TLDR: The courses in The Google Analytics Master Class Bundle break down how to analyze web traffic data to make a big impact on your business and marketing efforts. Google Analytics has just ...

  8. Become a Google Analytics expert in just 48 hours - AOL

    www.aol.com/become-google-analytics-expert-just...

    TL;DR: The Google Analytics Certification is on sale for £11.12, saving you 93% on list price. Data rules all in 2020, and if you don't plan to be a full-blown data scientist, you should at least ...

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