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An entry-level job is a job that is normally designed or designated for recent graduates of a given discipline and typically does not require prior experience in the field or profession. These roles may require some on-site training. Many entry-level jobs are part-time and do not include employee benefits.
The modern conception of data science as an independent discipline is sometimes attributed to William S. Cleveland. [23] In 2014, the American Statistical Association's Section on Statistical Learning and Data Mining changed its name to the Section on Statistical Learning and Data Science, reflecting the ascendant popularity of data science. [24]
Data aggregation involves combining data together (possibly from various sources) in a way that facilitates analysis (but that also might make identification of private, individual-level data deducible or otherwise apparent). [31] This is not data mining per se, but a result of the preparation of data before—and for the purposes of—the ...
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
Data entry is the process of digitizing data by entering it into a computer system for organization and management purposes. It is a person-based process [ 1 ] and is "one of the important basic" [ 2 ] tasks needed when no machine-readable version of the information is readily available for planned computer-based analysis or processing.
Web scraping is the process of automatically mining data or collecting information from the World Wide Web. It is a field with active developments sharing a common goal with the semantic web vision, an ambitious initiative that still requires breakthroughs in text processing, semantic understanding, artificial intelligence and human-computer interactions.
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