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=========== Register here and get a call from sharpener tech https://www.sharpener.tech/?utm_source=codestepbystep&utm_medium=youtube&utm_campaign=DAplaylist&utm_term=introtoDAcourse =================== This course is created by Team Sharpener. Sharpener is India’s #1 Training Institute, and in just 5 years, they’ve helped 4000+ students get a job. This entire course is taught by Kaustubh Bhatter, CEO of Sharpener In this video, we explore SQL Window Functions, one of the most important concepts in Data Analytics and SQL interviews. You’ll learn how window functions work, their syntax using the OVER() clause, and how they differ from traditional aggregate functions. We’ll cover practical examples using employee salary data and explain how to analyze data without collapsing rows. What are SQL Window Functions? Window Function Syntax (OVER, PARTITION BY, ORDER BY) ROW_NUMBER() with examples RANK() vs DENSE_RANK() differences NTILE() for data bucketing and segmentation Salary ranking by department High, Medium, Low salary grouping Real-world Data Analytics use cases This video is part of our Data Analytics Tutorial Playlist, perfect for beginners, analysts, and SQL interview preparation. sql window functions row_number sql rank vs dense_rank sql ntile sql sql analytics functions sql for data analytics sql interview questions window function sql tutorial partition by sql order by sql salary ranking sql data analytics sql tutorial sql advanced concepts sql ranking functions sql ntile example data analyst sql sql over clause ============================ Our website : https://thecodingskills.com
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