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2. Coursera - Wikipedia

   en.wikipedia.org/wiki/Coursera

   Coursera Inc. (/ k ər ˈ s ɛ r ə /) is an American global massive open online course provider. It was founded in 2012 [2] [3] by Stanford University computer science professors Andrew Ng and Daphne Koller. [4] Coursera works with universities and other organizations to offer online courses, certifications, and degrees in a variety of subjects.

3. Massive open online course - Wikipedia

   en.wikipedia.org/wiki/Massive_open_online_course

   Early data from Coursera suggest a completion rate of 7–9%. [108] Coffrin et al. (2012) [ 109 ] report the completion rates are even lower (between 3 and 5%), while they say there is a consistent and noticeable decline in the number of students who participate in the course every week.

4. Andrew Ng - Wikipedia

   en.wikipedia.org/wiki/Andrew_Ng

   Ng was a cofounder and head of Google Brain and was the former Chief Scientist at Baidu, building the company's Artificial Intelligence Group into a team of several thousand people. [ 4 ] Ng is an adjunct professor at Stanford University (formerly associate professor and Director of its Stanford AI Lab or SAIL).

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. Operational analytical processing - Wikipedia

   en.wikipedia.org/wiki/Operational_analytical...

   The definition of an operational analytics processing engine (OPAP) [8] can be expressed in the form of the following six propositions: Complex queries: Support for queries like inner & outer joins, aggregations, sorting, relevance, etc. Low data latency: An update to any data record is visible in query results in under than a few seconds.

7. 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.