Data science

As such, it incorporates skills from computer science, mathematics, data visualization, graphic design, communication, and business.

[12] Andrew Gelman of Columbia University has described statistics as a non-essential part of data science.

[13] 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.

[6] In 1996, the International Federation of Classification Societies became the first conference to specifically feature data science as a topic.

He reasoned that a new name would help statistics shed inaccurate stereotypes, such as being synonymous with accounting or limited to describing data.

[17] In 2012, technologists Thomas H. Davenport and DJ Patil declared "Data Scientist: The Sexiest Job of the 21st Century",[19] a catchphrase that was picked up even by major-city newspapers like the New York Times[20] and the Boston Globe.

[27] Data science involves working with larger datasets that often require advanced computational and statistical methods to analyze.

[30] In big data, where volumes of information are continually generated and processed, these platforms can be used to handle complex and resource-intensive analytical tasks.

Ethical concerns include potential privacy violations, bias perpetuation, and negative societal impacts [33][34] Machine learning models can amplify existing biases present in training data, leading to discriminatory or unfair outcomes.