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  2. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]

  3. Master in Data Science - Wikipedia

    en.wikipedia.org/wiki/Master_in_Data_Science

    When Harvard Business Review called data scientist "The Sexiest Job of the 21st Century" the term became a buzzword, [4] and is now often applied to business analytics, or even arbitrary use of data, or used as a term for statistics. While many university programs now offer a data science degree, there exists no consensus on a definition or ...

  4. Skills-based hiring - Wikipedia

    en.wikipedia.org/wiki/Skills-Based_Hiring

    The intent of skills-based hiring is for applicants to demonstrate, independent of an academic degree the skills required to be successful on the job. It is also a mechanism by which employers may clearly and publicly advertise the expectations for the job – for example indicating they are looking for a particular set of skills at an appropriately communicated level of proficiency.

  5. Data literacy - Wikipedia

    en.wikipedia.org/wiki/Data_literacy

    Data literacy is the ability to read, understand, create, and communicate data as information. Much like literacy as a general concept, data literacy focuses on the competencies involved in working with data. It is, however, not similar to the ability to read text since it requires certain skills involving reading and understanding data. [1]

  6. Data architect - Wikipedia

    en.wikipedia.org/wiki/Data_architect

    According to the Open Group Architecture Framework (TOGAF), a data architect is expected to set data architecture principles, create models of data that enable the implementation of the intended business architecture, create diagrams showing key data entities, and create an inventory of the data needed to implement the architecture vision. [3]

  7. Knowledge, Skills, and Abilities - Wikipedia

    en.wikipedia.org/wiki/Knowledge,_Skills,_and...

    The Knowledge, Skills, and Abilities (KSA) framework, is a series of narrative statements that, along with résumés, determines who the best applicants are when several candidates qualify for a job. The knowledge, skills, and abilities (KSAs) necessary for the successful performance of a position are contained on each job vacancy announcement ...

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