SQL Interview Preparation Course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

Overview: This hands-on SQL Interview Preparation Course is designed for intermediate learners aiming to master complex SQL concepts and excel in technical interviews, especially at top-tier tech companies. The course spans approximately 6 hours of content, structured into eight focused modules that progress from foundational CRUD operations to advanced analytical functions. Each module combines concise theory with interactive quizzes and coding exercises to reinforce practical skills. Developed by MAANG engineers, the curriculum emphasizes real-world scenarios, performance optimization, and senior-level query patterns essential for data engineers, analysts, and backend developers.

Module 1: Get Started & CRUD Basics

Estimated time: 0.5 hours

  • Database creation and deletion
  • Cascading operations
  • Basic INSERT statements
  • UPDATE and DELETE operations

Module 2: Views

Estimated time: 0.5 hours

  • Creating views
  • Querying views
  • Using views with aggregate results

Module 3: Indexes

Estimated time: 0.5 hours

  • Single index creation
  • Composite index creation
  • Understanding indexing for query speed

Module 4: Stored Procedures

Estimated time: 1 hour

  • Building stored procedures
  • Parameterized stored procedures
  • Handling inserts, updates, and deletions via procedures

Module 5: Complex Data Handling

Estimated time: 1 hour

  • String manipulation functions
  • Regular expression (REGEX) queries
  • Using CASE statements
  • CROSS JOIN patterns

Module 6: Set Operators

Estimated time: 0.5 hours

  • UNION and UNION ALL
  • INTERSECT operator
  • Multi-table analytical queries

Module 7: Ranking & Analytic Functions

Estimated time: 1 hour

  • LAG and LEAD functions
  • RANK and ranking functions
  • FIRST_VALUE, LAST_VALUE, NTH_VALUE
  • Window aggregates for analytics

Module 8: Subqueries & Final Tips

Estimated time: 0.5 hours

  • Nested subqueries with aggregation
  • Filtering patterns using subqueries
  • Using HAVING clause
  • Mock interview session

Prerequisites

  • Familiarity with basic SQL syntax
  • Understanding of tables, SELECT statements, and basic filtering
  • Some exposure to database concepts recommended

What You'll Be Able to Do After

  • Write complex, production-grade SQL queries confidently
  • Solve advanced interview problems involving window functions and subqueries
  • Optimize query performance using indexing and schema design
  • Create and manage views and stored procedures
  • Apply set operators and analytical functions to real-world datasets
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