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2. 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 .

3. 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.

4. 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]

5. Cassie Kozyrkov - Wikipedia

   en.wikipedia.org/wiki/Cassie_Kozyrkov

   After two years, she joined the Office of the CTO at Google in 2016. [citation needed] Her area of focus at Google is on applied AI and data science process architecture. [7] [better source needed] Cassie Kozyrkov during the opening day of Web Summit 2019. Kozyrkov is also a technology evangelist and has been called a data science thought ...

6. Google Cloud Platform - Wikipedia

   en.wikipedia.org/wiki/Google_Cloud_Platform

   Google Cloud Platform provides infrastructure as a service, platform as a service, and serverless computing environments. In April 2008, Google announced App Engine, a platform for developing and hosting web applications in Google-managed data centers, which was the first cloud computing service from the company. The service became generally ...

7. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   A data product is a computer application that takes data inputs and generates outputs, feeding them back into the environment. [41] It may be based on a model or algorithm. For instance, an application that analyzes data about customer purchase history, and uses the results to recommend other purchases the customer might enjoy. [42] [13]