Data Modeling

Data modeling is the process of creating a conceptual representation of data objects, relationships between different data objects, and rules governing data manipulation and transformation. It involves identifying the data requirements of an organization and creating a data model that represents those requirements in a structured and organized way. Data modeling is an essential step in the development of any database or information system, as it helps to ensure that the system is designed to meet the needs of the organization and its users. There are several types of data models, including conceptual, logical, and physical models, each with its own level of detail and abstraction.

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Observational Studies: Observational studies are a type of study design in which researchers observe and measure the characteristics and behaviors of a group of individuals without manipulating any variables. These studies are often used in epidemiology, social s ... Read More >>
Descriptive Measures: Descriptive measures are statistical values that summarize and describe the main features of a dataset. These measures provide insights into the central tendency, variability, and shape of the data distribution. Common descriptive measures ... Read More >>
Likelihood: Likelihood is a statistical concept that refers to the probability of observing a set of data given a specific hypothesis or model. It is used to assess the plausibility of different models or hypotheses based on the observed data. In other ... Read More >>

Data Modeling

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