Data Analytics


Data Analytics is the process of examining large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. It involves collecting, cleaning, transforming, and modeling data to extract insights and support decision-making. Data Analytics uses statistical and computational techniques such as data mining, machine learning, predictive modeling, and natural language processing to analyze data. It is used in various industries such as healthcare, finance, marketing, and e-commerce to improve business performance, optimize operations, and gain a competitive advantage.


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  • Data Models: In Data Science, a data model is a conceptual representation of data structures and the relationships between them. It defines the rules, constraints, and logical interdependencies between data elements and provides a framework for organizi ... Read More >>
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  • Filter Methods: Filter methods are a type of feature selection technique in which the features are selected based on their statistical properties such as correlation, mutual information, or variance. These methods are applied before the model is trained an ... Read More >>
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