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The term "soft skills" was created by the U.S. Army in the late 1960s. It refers to any skill that does not employ the use of machinery. The military realized that many important activities were included within this category, and in fact, the social skills necessary to lead groups, motivate soldiers, and win wars were encompassed by skills they had not yet catalogued or fully studied.
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.
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]
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It is imperative in inferring information from data and adhering to a conclusion or decision from that data. Data analysis can stem from past or future data. Data analysis is an analytical skill, commonly adopted in business , as it allows organisations to become more efficient, internally and externally, solve complex problems and innovate .
Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. [2] In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. [3]
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