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Welcome back! In this video, I’ll explain how I performed Market Basket Analysis using SQLite for a digital media store. This technique helps uncover patterns in customer purchase behavior, revealing which items are frequently bought together. Perfect for optimizing sales strategies and boosting cross-sell opportunities! What You’ll Learn in This Video: 🔹 How to create association rules in SQLite to identify product relationships. 🔹 Using SQL queries to extract and analyze purchase patterns. 🔹 Calculating support, confidence, and lift metrics for stronger data insights. 🔹 How to interpret the results to make data-driven decisions for your business. Video Links: Extracting Columns from Tables: • Видео Video on Left Join: • Mastering LEFT JOIN in SQL with 4 Practica... This video is a perfect guide when working on a retail project or exploring e-commerce analytics. It will guide you through the step-by-step process, making Market Basket Analysis accessible for beginners! Don’t forget to like, comment, and subscribe for more data analysis tutorials, and stay tuned for the next part of this project series!