50 years of data science by david donoho

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50 years of data science by david donoho

David Donoho (Author of 50 years of data science)

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Published 29.03.2019

Sean Owen: What 50 years of data science leaves out

AI News, 50 years of Data Science by Dave Donoho

More than 50 years ago, John Tukey called for a reformation of academic statistics. In the future, we will be able to predict how a proposal to change data analysis workflows would impact the validity of data analysis across all of science, even predicting the impacts field-by-field. Now, Southern Methodist University offers a graduate degree that will give your career an edge in this exciting and highly competitive field of applied statistics and data analytics. Extracting knowledge and insight from this avalanche of information is the goal of data science, a rapidly growing field with applications in such areas as marketing, education, and sports, as well as scientific fields such as genomics, neuroscience, and particle physics. Data science is a 'concept to unify statistics, data analysis, machine learning and their related methods' in order to 'understand and analyze actual phenomena' with data. Turing award winner Jim Gray imagined data science as a 'fourth paradigm' of science empirical, theoretical, computational and now data-driven and asserted that 'everything about science is changing because of the impact of information technology' and the data deluge. In many cases, earlier approaches and solutions are now simply rebranded as 'data science' to be more attractive, which can cause the term to become 'dilute[d] beyond usefulness.

Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data science is a "concept to unify statistics , data analysis , machine learning and their related methods" in order to "understand and analyze actual phenomena" with data. Turing award winner Jim Gray imagined data science as a "fourth paradigm" of science empirical , theoretical , computational and now data-driven and asserted that "everything about science is changing because of the impact of information technology" and the data deluge. It is now often used interchangeably with earlier concepts like business analytics , [9] business intelligence , predictive modeling , and statistics. Even the suggestion that data science is sexy was paraphrasing Hans Rosling , featured in a BBC documentary with the quote, "Statistics is now the sexiest subject around. The term "data science" has appeared in various contexts over the past thirty years but did not become an established term until recently.

Musings, useful code etc. on R and data science

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3 COMMENTS

  1. Karin F. says:

    50 years of Data Science – by David Donoho | R-statistics blog

  2. Notsurestill says:

    How long is the green mile remembering a loss loved one

  3. Diatiovolna says:

    Applied MS in Statistics and Data Analytics Program

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