SQL Database
Master SQL for data management, queries, and analytics
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
What You’ll Learn
Database design and normalization
SQL queries: SELECT, INSERT, UPDATE, DELETE
Joins and relationships
Aggregations and subqueries
Transactions and indexing
Views, stored procedures, and triggers
Hands-on projects with real datasets
Who This Course is For
Great fit for students.
Great fit for business analysts.
Great fit for data enthusiasts.
Great fit for developers.
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
Projects
Design a database and queries for managing books, members, and loans.
Analyze sales data with SQL queries and reports.
Manage student records, courses, and grades using SQL.
Track customers, orders, and payments with queries.
Create HR database to manage employees, salaries, and departments.
Testimonials
“This course gave me the confidence to write SQL queries at work.”
“The projects were practical and helped me understand how SQL is used in real life.”
“Clear explanations and hands-on practice made learning SQL easy.”
Instructor
Database administrator & trainer with 10+ years experience in SQL, data modeling, and analytics.
LinkedIn →FAQs
Do I need coding knowledge to learn SQL?
No, SQL is query-based and can be learned without prior programming.
Which SQL database will I learn?
We primarily use MySQL, but the concepts also apply to PostgreSQL and other RDBMS.
Will I learn advanced SQL features?
Yes, we cover joins, subqueries, window functions, and optimization tips.
Is SQL useful for non-technical roles?
Yes, business analysts, managers, and marketers often use SQL for data insights.
Do I get a certificate?
Yes, a certificate is awarded after completing the course and project.