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Utilized SQL to extract data on COVID-19 cases and deaths from related tables using JOINs, CTEs, and Views and employed aggregation and WINDOW functions to derive key insights regarding the rise and fall of COVID-19 cases and deaths, as well as relationships among various measures. The results were then used to create a dashboard on Tableau Public

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