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Data Science and Analytics

Data science and analytics are important for extracting insights and making data-driven decisions. It involves applying statistical and computational techniques to analyze large volumes of data and uncover meaningful patterns and trends. An example is a healthcare organization using data analytics to predict patient readmission rates, enabling proactive interventions and reducing healthcare costs.

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