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Analytical skill is the ability to deconstruct information into smaller categories in order to draw conclusions. [1] Analytical skill consists of categories that include logical reasoning, critical thinking, communication, research, data analysis and creativity.
Basically, having good analytic reasoning is the ability to recognize trends and patterns after considering data. As a result, some universities use the terms "analytical reasoning" and "analytical thinking" to market themselves. [5] [6] One such university defines it as "A person who can use logic and critical thinking to analyze a situation."
An analytic language is a type of natural language in which a series of root/stem words is accompanied by prepositions, postpositions, particles and modifiers, using affixes very rarely. This is opposed to synthetic languages , which synthesize many concepts into a single word, using affixes regularly.
Traffic analysis of Wikipedia. Analytics is the systematic computational analysis of data or statistics. [1] It is used for the discovery, interpretation, and communication of meaningful patterns in data, which also falls under and directly relates to the umbrella term, data science. [2]
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] Data is collected and analyzed to answer questions, test hypotheses, or disprove theories. [11]
Higher-order thinking, also known as higher order thinking skills (HOTS), [1] is a concept applied in relation to education reform and based on learning taxonomies (such as American psychologist Benjamin Bloom's taxonomy). The idea is that some types of learning require more cognitive processing than others, but also have more generalized benefits.
The skills and competencies considered "21st century skills" share common themes, based on the premise that effective learning, or deeper learning, requires a set of student educational outcomes that include acquisition of robust core academic content, higher-order thinking skills, and learning dispositions.
Visual analytics is "the science of analytical reasoning facilitated by interactive visual interfaces." [2] It can attack certain problems whose size, complexity, and need for closely coupled human and machine analysis may make them otherwise intractable. [3]