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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]
In addition, applications may also ask for previous employment information, educational background, emergency contacts, and references, as well as any special skills the applicant might have. The three categories of information that application fields are very useful for discovering are physical characteristics, experience, and environmental ...
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.
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Data science process flowchart from Doing Data Science, by Schutt & O'Neil (2013) Analysis refers to dividing a whole into its separate components for individual examination. [ 10 ] Data analysis is a process for obtaining raw data , and subsequently converting it into information useful for decision-making by users. [ 1 ]
A time series is the sequence of a variable's value over equally spaced periods, such as years or quarters in business applications. [11] To accomplish this, the data must be smoothed, or the random variance of the data must be removed in order to reveal trends in the data. There are multiple ways to accomplish this.
The concept of T-shaped skills, or T-shaped persons is a metaphor used in job recruitment to describe the abilities of persons in the workforce.The vertical bar on the letter T represents the depth of related skills and expertise in a single field, whereas the horizontal bar is the ability to collaborate across disciplines with experts in other areas and to apply knowledge in areas of ...
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