SQL Database Zero to Mastery

About Course

Fast-track your data career. Master the universal language of databases. Build a strong foundation in RDBMS, Complex Queries, Joins, and Database Architecture. We provide 100% Placement Assistance.

Acquire the precise data manipulation skills tech giants desperately search for. Master backend queries and unlock an undeniable edge in your career.

Course Content

Phase 1: Getting Started Databases & RDBMS Basics

Introduction to Data, Databases, and DBMS vs RDBMS
Understanding Tables, Rows, Columns, and Data Types
Primary Keys, Foreign Keys, and Unique Constraints
Installing MySQL / PostgreSQL and Setup GUI tools (Workbench/pgAdmin)
Overview of SQL Syntax and best practices

Phase 2: Foundation DDL & DML Commands

Phase 3: Querying Basics Data Retrieval & Filtering

Phase 4: Aggregation Sorting, Functions & Grouping

Phase 5: Multi-Table Queries Mastering SQL Joins

Phase 6: Advanced Logic Subqueries & Advanced Expressions

Phase 7: Analytics Engine Window Functions & Analytics

Phase 8: Database Administration Database Objects & Optimization

Phase 9: Architecture Database Design & Normalization

Phase 10: Implementation Real-World Capstone Project

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About Course

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Course Content

Phase 1: Getting Started Databases & RDBMS Basics

Introduction to Data, Databases, and DBMS vs RDBMS

Understanding Tables, Rows, Columns, and Data Types

Primary Keys, Foreign Keys, and Unique Constraints

Installing MySQL / PostgreSQL and Setup GUI tools (Workbench/pgAdmin)

Overview of SQL Syntax and best practices

Phase 2: Foundation DDL & DML Commands

Data Definition (DDL): CREATE, ALTER, DROP, TRUNCATE

Data Manipulation (DML): INSERT, UPDATE, DELETE

Using Default constraints and Auto-Increment fields

Safe updates and best practices for modifying data

TCL Commands: COMMIT, ROLLBACK, SAVEPOINT

Phase 3: Querying Basics Data Retrieval & Filtering

The SELECT Statement and Aliases (AS)

Eliminating duplicates using DISTINCT

Filtering data with WHERE clause

Logical Operators: AND, OR, NOT, IN, BETWEEN

Pattern matching using LIKE and Wildcards (%, _)

Phase 4: Aggregation Sorting, Functions & Grouping

Sorting Results with ORDER BY (ASC, DESC)

Aggregate Functions (MIN, MAX, COUNT, SUM, AVG)

Built-in String, Math, and Date/Time Functions

Grouping rows using the GROUP BY clause

Filtering grouped data using the HAVING clause

Phase 5: Multi-Table Queries Mastering SQL Joins

Understanding Table Relationships (1:1, 1:N, N:M)

INNER JOIN: Fetching matching records

OUTER JOINS: LEFT, RIGHT, and FULL Joins

SELF JOIN and CROSS JOIN explained

Combining multiple result sets using UNION & UNION ALL

Phase 6: Advanced Logic Subqueries & Advanced Expressions

Single-row and Multiple-row Subqueries

Correlated Subqueries and performance differences

Using EXISTS and ANY/ALL operators

Conditional Logic in SQL using CASE Statements

Common Table Expressions (CTEs) & WITH Clause

Phase 7: Analytics Engine Window Functions & Analytics

Concept of Window vs Aggregate functions

OVER(), PARTITION BY, and ORDER BY within windows

Ranking Functions: ROW_NUMBER(), RANK(), DENSE_RANK()

Value Functions: LEAD() and LAG() for temporal data

Running totals and moving averages calculations

Phase 8: Database Administration Database Objects & Optimization

Creating and Managing Database Views

Improving query speed with Indexes (Clustered/Non-Clustered)

Stored Procedures: Syntax, Parameters, and Benefits

Understanding Triggers for automated actions

Execution plans and basic query optimization

Phase 9: Architecture Database Design & Normalization

Entity-Relationship (ER) Models and Diagrams

The concept of Data Anomalies

Normalization Forms: 1NF, 2NF, and 3NF

Denormalization: When and why to use it

Designing schemas for real-world applications

Phase 10: Implementation Real-World Capstone Project

Complete DB Design for an E-Commerce Platform

Writing complex queries for Sales, Inventory & Users

Creating Views for daily reporting dashboards

Implementing Stored Procedures for checkout processes

Exporting and backing up your database

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