SQL Rolling Totals and Moving Averages

Analyzing data over time often requires understanding cumulative trends and smoothed averages, and SQL provides powerful tools for this. This course empowers you to confidently use SQL window functions to perform sophisticated time-based data analysis, revealing patterns and insights from your datasets. You will learn to read and write queries that transform raw data into meaningful historical summaries. What you'll learn: * Understand the fundamental concepts of SQL window functions and their syntax. * Apply window functions to compute rolling sums, moving averages, and cumulative totals. * Practice defining partitions and ordering clauses for accurate time-based calculations. * Analyze time-series data to identify trends and patterns using cumulative metrics. * Structure complex queries with Common Table Expressions (CTEs) for enhanced clarity and maintainability. * Explore basic performance considerations and strategies for optimizing window function queries. The course begins with foundational SQL concepts and the basics of window functions, then progresses to practical applications for rolling totals and moving averages. You will learn to construct and refine queries for various time-based analytical scenarios through written explanations and code snippets. This course is designed for beginners with no prior experience in SQL or data analysis, providing a complete introduction to the topic. Start your journey to becoming proficient in time-based SQL analysis.