SQL Database
Master SQL for data management, queries, and analytics
⭐ 4.7 (950 reviews)👥 3,200 students⏱ 4-6 Weeks📈 Beginner → Intermediate
Hands-on Queries
Industry Use Cases
Certificate
Practical Projects
About the Course
Learn SQL from scratch and become confident in managing databases, writing queries, and analyzing data. Practice with real datasets and build projects that strengthen your data skills.
Tip: Hybrid mentorship pairs you with an expert to review code, unlock roadblocks, and plan your portfolio.
Prerequisites
- Basic computer knowledge
- No prior programming required
- Laptop with MySQL/PostgreSQL installed
- Interest in data and problem solving
Curriculum
▸Module 1 · Introduction to Databases
- • What is a database?
- • Relational vs non-relational databases
- • ER diagrams & schema design
- • Database normalization basics
▸Module 2 · SQL Basics
- • Setting up SQL environment (MySQL/PostgreSQL)
- • CREATE and DROP databases & tables
- • Data types in SQL
- • Basic CRUD operations
▸Module 3 · Querying Data
- • SELECT statements
- • WHERE conditions & operators
- • ORDER BY & LIMIT
- • Practice queries
▸Module 4 · Joins & Relationships
- • Primary keys & foreign keys
- • INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN
- • Self joins
- • Practical relationship queries
▸Module 5 · Aggregation & Grouping
- • COUNT, SUM, AVG, MIN, MAX
- • GROUP BY & HAVING
- • Aggregate queries on real datasets
▸Module 6 · Subqueries & Nested Queries
- • Single-row subqueries
- • Multi-row subqueries
- • IN, EXISTS, ANY, ALL
- • Correlated subqueries
▸Module 7 · Transactions & Indexes
- • ACID properties
- • START TRANSACTION, COMMIT, ROLLBACK
- • Indexes & performance tuning
▸Module 8 · Views & Stored Procedures
- • Creating and using views
- • Stored procedures basics
- • Functions & triggers
- • Best practices
▸Module 9 · Advanced SQL Features
- • Window functions (ROW_NUMBER, RANK)
- • Common Table Expressions (CTE)
- • Pivoting & unpivoting data
- • SQL optimization tips
▸Module 10 · Capstone Project
- • Design database schema
- • Write optimized queries
- • Generate reports
- • Present project findings
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