From SQL Queries to Analysis: Answering Real Questions with Data
Learn how to turn business questions into SQL metrics with beginner-friendly aggregation, ranking, and running total examples.
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This is a lightweight tag archive. It can help you find repeated concepts across posts, but topic hubs are the primary reading paths when you want a stronger sequence or a clearer problem-focused cluster.
This tag overlaps with the broader blog topic paths below. Use them when you want a more curated reading order rather than a raw tag archive.
Analytics
A practical cluster for cohorts, funnels, customer value, and the kinds of reporting questions teams actually ask every week.
Advanced SQL
Use this path when you are moving beyond beginner SELECT queries into CTEs, window functions, and conditional logic.
Learn how to turn business questions into SQL metrics with beginner-friendly aggregation, ranking, and running total examples.
Read articleLearn how to detect anomalies and statistical outliers in your data using SQL with Z-score, IQR, and moving average methods.
Read articleMove beyond basic SELECTs. Master the core SQL techniques for real-world data analysis: Data Cleaning, Time-Series Analysis, Window Functions, and Cohort Analysis.
Read articleLearn how ROWS and RANGE window frames change results, avoid hidden pitfalls, and build correct moving calculations with clear, runnable examples.
Read articleAVG tells you the mean, but what about median and percentiles? Learn how to calculate these essential statistics in SQL using window functions and clever tricks.
Read articleBuilding leaderboards, finding top performers, or paginating results? Master the three SQL ranking functions and understand exactly when to use each one.
Read articleNeed to compare a row with its previous or next row? Learn how SQL's LEAD and LAG window functions let you access neighboring rows without complex self-joins.
Read articleHow do you calculate "Year to Date" revenue or a "7-Day Moving Average" in SQL? The answer is Window Functions. Learn how to look back across rows without using self-joins.
Read articleRaw web logs are just a stream of clicks. Learn how to reconstruct meaningful "User Sessions" using SQL window functions.
Read article20% of your products likely produce 80% of your revenue. Learn how to verify the Pareto Principle in your own data using SQL window functions.
Read articleSmooth out noisy data trends using SQL Window Functions. Learn to calculate 7-day and 30-day moving averages with AVG() OVER and ROWS BETWEEN.
Read articleCalculate growth rates like a pro. Learn how to use the LAG() window function to compare current values with past data.
Read articleTurn raw timestamps into business insights. Learn how to calculate Month-over-Month growth and smooth out noisy data with 7-day moving averages.
Read articleMaster ROW_NUMBER, RANK, and running totals with interactive visualizations. See exactly how window functions process your data row by row.
Read articleTags are kept as cross-cutting archives, not as the main blog information architecture. If you are choosing where to start, the topic hubs usually provide a better reading order and clearer surrounding context.