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These Projects have SQL real-world data analysis with Netflix and Zomato datasets.Worked with complex queries utilizing JOINs, aggregation functions, GROUP BY, subqueries, CTEs, and window functions. Analyzed popular content, cuisine preferences, revenue metrics, and operational performance.

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SQL Projects Repository

Master advanced SQL through real-world data analysis with Netflix and Zomato datasets. Explore entertainment trends across genres, ratings, and regional distribution, while investigating restaurant ecosystems including delivery metrics and customer satisfaction. Work with complex queries utilizing JOINs, aggregation functions, GROUP BY, subqueries, CTEs, and window functions. Analyze popular content, cuisine preferences, revenue metrics, and operational performance. Build proficiency in database design, data filtering, conditional logic, and time-series analysis. These hands-on projects demonstrate practical SQL expertise, business intelligence capabilities, and analytical skills applicable to entertainment platforms, food delivery services, and data-driven decision-making across industries.

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These Projects have SQL real-world data analysis with Netflix and Zomato datasets.Worked with complex queries utilizing JOINs, aggregation functions, GROUP BY, subqueries, CTEs, and window functions. Analyzed popular content, cuisine preferences, revenue metrics, and operational performance.

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