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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.
The free courses (also called "auditing a course") do not include a certificate of completion or grades or any other instructor feedback. A free course can be "upgraded" to the paid version of a course, which includes instructor's feedback and grades for the submitted assignments, and (if the student gets a passing grade) a certificate of ...
The university offers undergraduate and post-graduate courses in business administration, economics, computer science, and information technology. Due to its heavy reliance on serving lectures through the internet, Pakistani students residing overseas in several other countries of the region are also enrolled in the university's programs.
Crash Course (sometimes stylized as CrashCourse) is an educational YouTube channel started by John Green and Hank Green (collectively the Green brothers), who became known on YouTube through their Vlogbrothers channel. [2] [3] [4] Crash Course was one of the hundred initial channels funded by YouTube's $100 million original channel initiative.
A Master of Science in Data Science is an interdisciplinary degree program designed to provide studies in scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured, [1] [2] similar to data mining.
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The College of Computing, Data Science, and Society is the newest of the 15 colleges [1] at the University of California, Berkeley and has three academic majors: Computer Science, Data Science, and Statistics. [2] [3] The college was established in 2023. The 2023–24 academic year will be the first academic year for the college. [4]
Social data scientists use both digitized data [22] (e.g. old books that have been digitized) and natively digital data (e.g. social media posts). [23] Since such data often take the form of found data that were originally produced for other purposes (commercial, governance, etc.) than research, data scraping, cleaning and other forms of preprocessing and data mining occupy a substantial part ...