Database Management System using MySQL

Industry-Ready MySQL Curriculum

Learn DBMS foundations, SQL (basic to advanced), database design, administration & performance, and build production-style MySQL databases through case studies and a capstone.

1. 1

   Module 1: Introduction to DBMS & MySQL

   • Understanding DBMS: definition, importance, types (Relational, NoSQL, Hierarchical)
   • Key concepts: data models, schemas, data independence
   • Introduction to MySQL: overview, history, features
   • Advantages & use cases in modern databases

   Outcomes: hands-on labs, performance drills, and a portfolio-ready capstone.

2. 2

   Module 2: Getting Started with MySQL

   • Installation & setup: system requirements, MySQL Server/Workbench
   • Basic configuration: user accounts, security settings
   • MySQL interfaces: CLI basics
   • MySQL Workbench: GUI features for design & queries

   Outcomes: hands-on labs, performance drills, and a portfolio-ready capstone.

3. 3

   Module 3: Database Design & Modeling

   • Database design concepts: ER modeling (entities, relationships)
   • Relational schema conversion from ER models
   • Schema implementation: normalization (1NF–BCNF) & denormalization trade-offs
   • Table creation: data types, keys, constraints; indexing basics (single/composite)

   Outcomes: hands-on labs, performance drills, and a portfolio-ready capstone.

4. 4

   Module 4: SQL Basics & Essential Clauses

   • Basic SQL queries: SELECT, WHERE; retrieving data from single/multiple tables
   • Essential filters: IN, BETWEEN, LIKE, IS NULL; ORDER BY, LIMIT/OFFSET
   • MySQL operators: arithmetic, concatenation; logical & comparison operators
   • Transactions intro: COMMIT/ROLLBACK for integrity

   Outcomes: hands-on labs, performance drills, and a portfolio-ready capstone.

5. 5

   Module 5: Advanced SQL

   • Joins: INNER, LEFT, SELF, CROSS; USING & NATURAL JOIN
   • Subqueries: scalar & correlated; UNION/UNION ALL
   • Aggregations: GROUP BY, HAVING, aggregate functions; multi-level summaries
   • Window functions: ROW_NUMBER, RANK, DENSE_RANK with OVER; running totals & moving averages

   Outcomes: hands-on labs, performance drills, and a portfolio-ready capstone.

6. 6

   Module 6: Database Administration

   • User management: create accounts; grant/revoke; security best practices
   • DDL/DML: CREATE/ALTER/DROP; INSERT/UPDATE/DELETE
   • Backup & recovery: full/incremental with mysqldump; restore
   • Query optimization: EXPLAIN, indexing strategies; B-tree, hash, full-text
   • Server configuration: tuning parameters; slow query logs
   • TCL & DCL: COMMIT/ROLLBACK/SAVEPOINT; GRANT/REVOKE

   Outcomes: hands-on labs, performance drills, and a portfolio-ready capstone.

7. 7

   Module 7: SQL Advanced Features

   • As titled in brochure; detailed bullets not listed in the PDF page
   • Covered live during class with hands-on exercises

   Outcomes: hands-on labs, performance drills, and a portfolio-ready capstone.

8. 8

   Module 8: SQL Objects

   • Views: virtual tables for simplified access
   • Stored procedures: reusable code blocks
   • Functions & triggers: UDFs and automation
   • CTEs & temporary tables: common patterns

   Outcomes: hands-on labs, performance drills, and a portfolio-ready capstone.

9. 9

   Module 9: Real-World Applications

   • Case studies: sales/finance database designs; best practices
   • Capstone project: design, implement, optimize a business-scenario DB

   Outcomes: hands-on labs, performance drills, and a portfolio-ready capstone.

10. 10

    Module 10: Assessment & Certification

    • Final assessment test: practical & theoretical coverage
    • Certification

    Outcomes: hands-on labs, performance drills, and a portfolio-ready capstone.

Practice schema design, query optimization, replication setup, and backup & restore workflows to become job-ready for DBA, SQL Developer, and Data Engineer roles.

Learn the essentials—ER modeling, index strategies, transactions, and query optimization—to stand out for SQL Developer, Database Administrator, and Data Analyst roles.

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