SQL & Database Fundamentals for Analytics is a structured track of 6 lessons that build a complete, interview-ready understanding of the topic. Work through them in order, then use the quiz and flashcards in each lesson to revise.
What this course covers
- Relational Databases & the ER Model Explained - Relational Database: Data stored in structured tables with rows (records) and columns (attributes), linked via keys.
- SQL Fundamentals: Understanding Query Execution Order - Ch 3: SQL & Database Fundamentals Interview Favourite: SQL execution order is a favourite interview trap - write order ≠ execution order SQL Write Order vs Execution Orde
- 10 Must-Know SQL Patterns for Analytics - Ch 3: SQL & Database Fundamentals Pattern 1: Running Total / Cumulative Sum Running Total & 7-Day Rolling Average -- Cumulative revenue over time (Flipkart daily sales) S
- Analytics Engineering & the Metrics Layer Explained - Reality Check: In Flipkart, Razorpay, Zomato, the 'Data Analyst' role has evolved into Analytics Engineering.
- Star vs Snowflake Schema: Database Design for Analytics - Schema Star Schema Architecture Star Schema: Central Fact table (Sales, Orders, Events) connected to multiple Dimension tables (Customer, Product, Time, Location, Promoti
- SQL Red Flags & Common Traps to Avoid - SQL Red Flags - These Cost You Interview Rounds: 1.