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#33 Data Science - New Skill?

A new data science skill is required.

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From Australian Public Sector SFIA Forum:

Debate around informatics and data.  Generally all felt that the existing SFIA skills around data could encompass the needs of informatics but only for those very knowledgeable about the details in each data related skill.

The justification for suggesting additional data related skills is as follows:

  • There is a significant drive for large integration of data and interoperability of systems
  • IT is to a large extent the engine for ensuring that the data can be used and not the driver.
  • The importance of data in terms of what it is, its quality and integrity is often more important then the systems that manage it

As a comparison there are 20 service management skills but only about 5 data skills and the language focuses doesn't reflect the importance of data adn its use.

SFIA7 Project Manager says:
Sep 07, 2017 01:01 PM

These maybe a useful cross reference?

7 data science certifications that will pay off
https://www.cio.com/article/3222879/certifications/7-data-science-certifications-that-will-pay-off.html

14 big data certifications that will pay off
https://www.cio.com/article/3209911/certifications/big-data-certifications-that-will-pay-off.html

johngodsell@mac.com says:
Sep 11, 2017 01:23 PM

This is extracted from Wikipedia.

https://en.wikipedia.org/wiki/Data_science



Data science, also known as data-driven science, is an interdisciplinary field about 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.

Data science is a "concept to unify statistics, data analysis and their related methods" in order to "understand and analyze actual phenomena" with data.[3] It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science, in particular from the subdomains of machine learning, classification, cluster analysis, data mining, databases, and visualization.

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.[4][5]

When Harvard Business Review called it "The Sexiest Job of the 21st Century" [6] the term became a buzzword, and is now often applied to business analytics,[7] or even arbitrary use of data, or used as a sexed-up term for statistics.[8] While many university programs now offer a data science degree, there exists no consensus on a definition or curriculum contents.[7] Because of the current popularity of this term, there are many "advocacy efforts" surrounding it.[9]

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