Practical SQL Tricks Every Data Scientist Should Know

Seven practical SQL patterns beyond basic SELECT, WHERE, and GROUP BY solve real analytical problems like detecting activity streaks, segmenting customers by spend tier, smoothing time-series data, and tracing plan upgrade paths. LAG() and LEAD() functions access previous or next row values without self-joins, useful for calculating gaps between events.