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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Learn how to turn business questions into SQL metrics with beginner-friendly aggregation, ranking, and running total examples.
Read articleLearn how to build histograms, bucket data into ranges, and compute frequency distributions directly in SQL without external tools.
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 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 articleMaster one of the most famous SQL interview questions: identifying consecutive ranges (islands) and missing sequences (gaps) in your data.
Read articleLearn how to implement RFM (Recency, Frequency, Monetary) analysis using SQL to segment your customers and drive targeted marketing campaigns.
Read articleLearn how to transform rows into columns using standard SQL. Master the art of cross-tabulation with SUM(CASE WHEN...) for cleaner reports.
Read articleTake your SQL data analysis to the next level. Learn how to calculate Median, Mode, Percentiles, and Standard Deviation using modern SQL techniques.
Read articleLearn how to perform cohort analysis using SQL to track user retention, identify trends, and measure product success over time.
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