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Udacity is the outgrowth of free computer science classes offered in 2011 through Stanford University. [9] Thrun has stated he hopes half a million students will enroll, after an enrollment of 160,000 students in the predecessor course at Stanford, Introduction to Artificial Intelligence, [10] and 90,000 students had enrolled in the initial two classes as of March 2012.
Around the 1970s/1980s the term information engineering methodology (IEM) was created to describe database design and the use of software for data analysis and processing. [3] [4] These techniques were intended to be used by database administrators (DBAs) and by systems analysts based upon an understanding of the operational processing needs of organizations for the 1980s.
From 2007 to 2011, Thrun was a full professor of computer science and electrical engineering at Stanford. On April 1, 2011, Thrun relinquished his tenure at Stanford to join Google as a Google Fellow. On January 23, 2012, he co-founded an online private educational organization, Udacity, which produced massive open online courses. [11]
In her first webcast, on her first day as CEO of Accenture in 2019, Julie Sweet announced the launch of a Technology Quotient program to make sure every employee would get a basic knowledge of key ...
As Internet access has become more widespread the World Wide Web (explored using search engines such as Google) in general, and websites such as Wikipedia (including parts of it that were included in a book or referenced in a reading list), YouTube, Udemy, Udacity and Khan Academy in particular, have developed as learning centers for many ...
Nine national co-coordinators are appointed, which also includes NPTEL, i.e., course work by Indian engineering institutes headed by IIT Madras. The courses hosted on SWAYAM are in four quadrants – video lecture, specially prepared reading material that can be downloaded and/ or printed, self-assessment tests through tests and quizzes and an ...
In addition to statistical analysis, data science often involves tasks such as data preprocessing, feature engineering, and model selection. For instance, a data scientist might develop a recommendation system for an e-commerce platform by analyzing user behavior patterns and using machine learning algorithms to predict user preferences. [38] [39]
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.