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Advanced Analytics Functions: Next

Module: Window Functions

Statistical Functions in SQL - Deep dive into regression analysis and advanced statistical methods

Time Series Analysis with SQL - Using statistical functions for forecasting and trend analysis

Data Science with SQL - Advanced analytics patterns for machine learning preparation

Business Intelligence Dashboards - Creating executive dashboards with statistical insights

Performance Optimization for Analytics - Scaling statistical queries for big data

Materialized Views for Analytics - Caching complex statistical calculations

Build a customer lifetime value model using percentile analysis and correlation

Create a sales performance dashboard with statistical benchmarking

Implement A/B testing analysis using statistical significance testing

Design a risk management system using volatility and correlation analysis

Build a recommendation system using correlation analysis between user preferences

Create a quality control system using statistical process control methods

How would you identify the top 10% of customers for a VIP program using SQL?

Explain how to calculate and interpret correlation between marketing spend and sales.

How do you detect statistical outliers in a dataset using window functions?

What is the difference between PERCENT_RANK and NTILE for customer segmentation?

How would you build a rolling volatility calculation for financial risk management?

Explain how to use PERCENTILE_CONT for setting performance benchmarks.

Advanced SQL Analytics - Comprehensive guide to statistical functions and business applications

SQL for Data Science - Using SQL for statistical analysis and machine learning preparation

Business Intelligence with SQL - Building analytical dashboards and reporting systems

Financial Analytics with SQL - Risk management and portfolio optimization techniques

Customer Analytics with SQL - Segmentation, lifetime value, and behavioral analysis

Statistical Process Control - Quality management and process improvement with SQL