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Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. [1] Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science ...
Data science is an interdisciplinary field [ 10] focused on extracting knowledge from typically large data sets and applying the knowledge and insights from that data to solve problems in a wide range of application domains. The field encompasses preparing data for analysis, formulating data science problems, analyzing data, developing data ...
e. In statistics, exploratory data analysis (EDA) is an approach of analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling and thereby contrasts ...
Financial analyst. A financial analyst is a professional [1] undertaking financial analysis for external or internal clients as a core feature of the job. [2] [3] [4] The role may specifically be titled securities analyst, research analyst, equity analyst, investment analyst, or ratings analyst. [5] [6] The job title is a broad one: [7] [8] [9 ...
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Data entry. Data entry is the process of digitizing data by entering it into a computer system for organization and management purposes. It is a person-based process [1] and is "one of the important basic" [2] tasks needed when no machine-readable version of the information is readily available for planned computer-based analysis or processing.
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