SQL Database
Zero to Mastery
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.
The Ultimate Curriculum.
Acquire the precise data manipulation skills tech giants desperately search for. Master backend queries and unlock an undeniable edge in your career.
01
Phase 1: Getting Started
Databases & RDBMS Basics
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
02
Phase 2: Foundation
DDL & DML Commands
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
03
Phase 3: Querying Basics
Data Retrieval & Filtering
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 (%, _)
04
Phase 4: Aggregation
Sorting, Functions & Grouping
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
05
Phase 5: Multi-Table Queries
Mastering SQL Joins
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
06
Phase 6: Advanced Logic
Subqueries & Advanced Expressions
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
07
Phase 7: Analytics Engine
Window Functions & Analytics
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
08
Phase 8: Database Administration
Database Objects & Optimization
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
09
Phase 9: Architecture
Database Design & Normalization
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
10
Phase 10: Implementation
Real-World Capstone Project
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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