SQL & Databases Masterclass Course
Welcome to the ultimate postgresql tutorial for beginners 2026. Work through interactive sql practice problems with solutions, master our comprehensive sql window functions tutorial modules, and prepare for tough sql interview questions at Google and Amazon entirely in your browser. Claim your course completion XP and build production-ready database mastery today!
Data Wrangling with SQL: Clean & Transform Your Data
Introduction & Core Concept
Raw enterprise datasets are frequently messy, containing missing metadata, unassigned categories, or empty NULL cells. Data Wrangling is the systematic process of cleaning, structuring, and enriching raw records into pristine reporting assets.
Core Wrangling Tools
COALESCE(val1, val2, ...): Evaluates arguments from left to right and returns the very first non-NULL value. It is the gold standard for providing clean default values to empty cells.CASE WHEN: Implements robust if-else logical branching to standardize codes into presentation-ready labels.SELECT COALESCE(email, phone, 'No Contact Info') FROM users;Why & Where We Use It
Real-World Example
ShopMart orders ledger contains some orders with missing order dates and raw fulfillment system status codes. The analyst uses COALESCE to inject fallback date strings and CASE WHEN to map raw codes into beautiful emojis and friendly descriptions.
Best Practices: What to Do & What NOT to Do
COALESCE (e.g., COALESCE(work_email, personal_email, 'Unknown')) to establish robust fallback hierarchies.CASE WHEN branches. Always provide a defensive ELSE fallback clause.Syntax & Pro Tips
SELECT id, COALESCE(country, 'International') AS country_group FROM users;