Day 11 SQL Challenge | Q1 Explained – IF Conditions with CASE | 30‑Day SQL Project Series скачать в хорошем качестве

Day 11 SQL Challenge | Q1 Explained – IF Conditions with CASE | 30‑Day SQL Project Series

Welcome to Day 11 of the 30‑Day SQL Project‑Based Challenge! In this video, we walk through Question 1, focusing on one of the most essential logic tools in SQL: the IF‑Condition, implemented through the CASE expression. This lesson gives you a real‑world, pragmatic understanding of how to use conditional logic to categorize rows, create status flags, and compute derived values—all of which are critical in analytics, reporting, and data quality checks. The query we break down evaluates shipping performance and teaches you how to convert raw dates into meaningful business labels like "On Time", "Late", or "Not Shipped". 🔹 In this lesson, you will learn: ✔ What the SQL CASE expression is and how it replaces IF‑THEN logic The difference between simple and searched CASE How SQL handles NULLs and why you must test for them explicitly ✔ How to compute conditional numeric values How expressions like ship_date - due_date work How to safely return NULL when dependent fields are missing ✔ How to create business‑friendly labels from raw data Build logic such as: Not Shipped On Time Late ✔ How to write cleaner, more compact CASE expressions Using array/index tricks or boolean‑to‑integer casting (PostgreSQL technique) Improving readability and maintainability of conditional columns ✔ Why conditional logic is one of the MOST important tools for Data Analysts Used in: KPI status labels SLA monitoring Quality flags Customer scoring Product categorization Fraud indicators Data transformations in ELT pipelines 📌 Follow along with the challenge: https://github.com/dspacademy/30-Day-... If this explanation helps you finally understand conditional logic in SQL, don’t forget to like, comment, and subscribe for more daily SQL lessons!