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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. Coursera - Wikipedia

   en.wikipedia.org/wiki/Coursera

   Google, IBM, Meta [52] and other well-known companies, launched various courses for professional certificates, allowing students to fill the workforce in various sectors, such as data analytics, IT support, digital marketing, UX design, project management, and data science. [48] [46] According to Google, their courses are equivalent to 4 year ...

5. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. The data may also be collected from sensors in the environment, including traffic cameras, satellites, recording devices, etc.

6. Analytics - Wikipedia

   en.wikipedia.org/wiki/Analytics

   Analytics is the systematic computational analysis of data or statistics. [1] It is used for the discovery, interpretation, and communication of meaningful patterns in data, which also falls under and directly relates to the umbrella term, data science. [2] Analytics also entails applying data patterns toward effective decision-making.

7. Data science - Wikipedia

   en.wikipedia.org/wiki/Data_science

   Stanford professor David Donoho writes that data science is not distinguished from statistics by the size of datasets or use of computing and that many graduate programs misleadingly advertise their analytics and statistics training as the essence of a data-science program. He describes data science as an applied field growing out of ...