Transforming Data Analysis with Windows Functions
What you will learn
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Master Window Functions: Understand the syntax and usage of window functions in SQL.
Perform Row Numbering: Apply ROW_NUMBER, RANK, and DENSE_RANK functions to rank rows within data partitions.
Compute Moving Averages: Calculate moving averages using window functions to smooth data trends.
Analyze Cumulative Sums: Develop cumulative totals with window functions for progressive data analysis
Leverage Navigation Functions: Use LAG and LEAD to access data points from preceding and following rows.
Utilize First and Last Values: Implement FIRST_VALUE and LAST_VALUE for analyzing the earliest and latest data points.
Partition Data Efficiently: Group data using the PARTITION BY clause for focused analyses.
Optimize SQL Performance: Learn to write efficient window function queries that minimize computation time.
Filter Data with Rank Functions: Filter data based on specific ranking criteria, using window functions.
Analyze Sales Data: Gain insights into sales performance through cumulative and rolling totals.
Apply Advanced Grouping: Use window functions to create sophisticated data groupings.
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