Database Management Systems with SQL: Complete Course
A comprehensive DBMS and SQL course covering database fundamentals, ER diagrams, relational modeling, SQL from basics to advanced, normalization, ACID transactions, concurrency control, indexing, and query optimization. Designed for developers, data engineers, and anyone preparing for backend or data engineering technical interviews.
Course Content
7 modules · 16 lessonsIntroduction to Database Management Systems
Understand what a database is, why DBMS exist, types of DBMS, the relational model, and how databases power real-world applications. This module builds the conceptual foundation for all DBMS and SQL topics that follow.
What is DBMS? Complete Guide to Database Management Systems
database definition, DBMS definition, file system vs DBMS, advantages of DBMS, real world database use cases
Types of DBMS: Relational, NoSQL, and Beyond
relational DBMS, NoSQL DBMS, hierarchical model, network model, object-oriented DBMS, NewSQL, DBMS types comparison
The Relational Model: Tables, Rows, and Columns
relational model, relations, tuples, attributes, domains, relational algebra, schema, instance
Data Modeling and Keys
Master entity-relationship diagrams, understand all types of database keys, learn how to translate ER diagrams into relational schemas, and design databases that accurately represent real-world business requirements.
Entity-Relationship Diagrams: Designing Databases Visually
ER diagram, entity, attribute, relationship, cardinality, ER modeling, conceptual design
Database Keys: Primary, Foreign, Candidate, and Composite
primary key, foreign key, candidate key, composite key, surrogate key, natural key, referential integrity
SQL Fundamentals
Master the foundational SQL commands — SELECT, INSERT, UPDATE, DELETE — along with filtering, sorting, constraints, and joins. This module covers everything needed to retrieve and manipulate data in any relational database.
SQL SELECT: Querying Data with WHERE, ORDER BY, and LIMIT
SELECT statement, WHERE clause, ORDER BY, LIMIT, DISTINCT, comparison operators, logical operators, SQL basics
SQL JOINs: INNER, LEFT, RIGHT, and FULL OUTER
INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN, CROSS JOIN, join conditions, multi-table queries
INSERT, UPDATE, DELETE: Modifying Data Safely
INSERT INTO, UPDATE SET, DELETE FROM, DML statements, data modification, safe updates, transactions with DML
Advanced SQL
Master GROUP BY with aggregate functions, subqueries, views, stored procedures, and window functions. This module covers the SQL features used in real-world reporting, analytics, and complex application queries.
GROUP BY, HAVING, and Aggregate Functions
GROUP BY, HAVING, COUNT, SUM, AVG, MAX, MIN, aggregate functions, grouping queries
Subqueries and CTEs: Nested Query Techniques
subquery, correlated subquery, CTE, WITH clause, nested SELECT, EXISTS, IN subquery, query decomposition
Views and Stored Procedures: Reusable SQL
SQL VIEW, CREATE VIEW, stored procedures, PROCEDURE, parameters, view vs table, virtual table
Normalization and Database Design
Master the normalization process from 1NF through 3NF, understand functional dependencies, learn to detect and fix design problems, and apply database design best practices to real-world schemas.
Transactions and Concurrency Control
Master ACID properties, transaction management with COMMIT and ROLLBACK, isolation levels, and concurrency control mechanisms including locking and MVCC. Essential for building reliable, multi-user database applications.
ACID Properties and Transaction Management
ACID properties, atomicity, consistency, isolation, durability, BEGIN, COMMIT, ROLLBACK, SAVEPOINT
Concurrency Control: Isolation Levels and Locking
concurrency control, isolation levels, dirty read, non-repeatable read, phantom read, read committed, serializable, MVCC, deadlock
Indexing and Query Optimization
Understand how database indexes work, learn to identify and fix slow queries, master query execution plans, and apply performance optimization techniques that make the difference between a database that struggles and one that scales.
Database Indexing: B-Tree, Hash, and Composite Indexes
database index, B-tree index, hash index, composite index, clustered index, covering index, index selectivity, CREATE INDEX
Query Optimization: EXPLAIN Plans and Performance Tuning
query optimization, EXPLAIN, execution plan, full table scan, index scan, query rewriting, query performance, slow query log