Summary
This brings us to the end of this chapter, where we have learned about how to use SQL to analyze time series data and make predictions about future values based on historical trends and other relevant factors. Specifically, you learned the following:
- How to use SQL to aggregate and visualize time series data, including techniques such as grouping by time intervals, calculating moving averages, and creating line charts and other visualizations
- How to use common time series analysis techniques in SQL, such as calculating seasonality, trend, and volatility, and using CTEs to analyze data over time
- How to use SQL to build and analyze forecasting models, including linear regression models
- How to use SQL to generate KPIs related to time series data, such as forecast accuracy, sales forecasting, customer engagement forecasting, and inventory forecasting
