SQL Course

What We Learn In this Course

Module 1: Introduction to Databases and SQL
  • What is a Database?
  • Types of Databases: Relational vs Non-Relational
  • What is SQL (Structured Query Language)?
  • Overview of Database Management Systems (DBMS)
  • Popular SQL Databases (MySQL, PostgreSQL, SQLite, SQL Server)
Module 2: SQL Basics
  • Understanding Tables, Rows, and Columns
  • Basic SQL Commands:
    • SELECT
    • FROM
    • WHERE
  • Data Types in SQL (e.g., INT, VARCHAR, DATE)
Module 3: Data Manipulation Language (DML)
  • Inserting Data:
    • INSERT INTO
  • Updating Data:
    • UPDATE
    • SET
  • Deleting Data:
    • DELETE
Module 4: Data Querying
  • Retrieving Data with SELECT
  • Filtering Data with WHERE
  • Using Operators:
    • Logical Operators (AND, OR, NOT)
    • Comparison Operators (=, <, >, LIKE, BETWEEN)
  • Sorting Data with ORDER BY
  • Limiting Data with LIMIT
Module 5: Aggregate Functions and Grouping
  • Aggregate Functions:
    • COUNT()
    • SUM()
    • AVG()
    • MIN()
    • MAX()
  • Grouping Data with GROUP BY
  • Filtering Groups with HAVING
Module 6: Joining Tables
  • Understanding Relationships in Databases
  • Types of Joins:
    • Inner Join (INNER JOIN)
    • Left Join (LEFT JOIN)
    • Right Join (RIGHT JOIN)
    • Full Outer Join (FULL OUTER JOIN)
  • Combining Data from Multiple Tables
Module 7: Subqueries
  • Introduction to Subqueries
  • Using Subqueries in SELECT, WHERE, and FROM Clauses
  • Correlated Subqueries
Module 8: Data Definition Language (DDL)
  • Creating Tables:
    • CREATE TABLE
  • Modifying Tables:
    • ALTER TABLE
  • Deleting Tables:
    • DROP TABLE
  • Constraints (e.g., PRIMARY KEY, FOREIGN KEY, UNIQUE, NOT NULL)
Module 9: Database Transactions
  • Understanding Transactions
  • Commands:
    • BEGIN TRANSACTION
    • COMMIT
    • ROLLBACK
  • Ensuring Data Integrity
Module 10: Advanced SQL
  • Using Views:
    • CREATE VIEW
    • DROP VIEW
  • Indexing for Performance Optimization
  • Stored Procedures and Functions
  • Triggers and Events
Module 12: SQL for Data Analytics
  • Using SQL for Exploratory Data Analysis
  • Working with Time and Date Functions
  • Case Statements for Conditional Logic
  • Window Functions:
    • ROW_NUMBER()
    • RANK()
    • NTILE()
Module 13: Practical Applications
  • Real-World Projects:
    • Creating and Managing Databases
    • Building Reporting Dashboards
    • Writing Complex Queries for Business Scenarios
  • Case Studies:
    • E-commerce Analytics
    • Customer Relationship Management (CRM)
    • Inventory and Supply Chain Management