Скачать или смотреть Master Time-Series Analysis in SQL | Moving Averages, Cohort Analysis & Anomaly Detection

Unlock the power of your data warehouse! In this comprehensive tutorial, we dive deep into advanced SQL analytic functions for time-series modeling. Learn how to perform complex analysis directly in your database without needing to export data.

What you'll learn:
✅ Window Functions for Moving Averages: Smooth out noisy data and identify long-term trends in sales, traffic, or any time-stamped metric.
✅ LAG/LEAD for KPI Calculation: Easily calculate period-over-period growth metrics like Month-over-Month (MoM) or Year-over-Year (YoY).
✅ Cohort Retention Analysis: Understand user behavior and product stickiness by tracking user cohorts over time.
✅ Practical Anomaly Detection: Combine window functions to build a powerful anomaly detection model to spot unusual spikes or dips in your data.

This tutorial is perfect for data engineers, data analysts, and data scientists who want to level up their SQL skills and perform sophisticated time-series analysis efficiently.

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