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
)
- Logical Operators (
- 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
)
- Inner Join (
- Combining Data from Multiple Tables
Module 7: Subqueries
- Introduction to Subqueries
- Using Subqueries in
SELECT
,WHERE
, andFROM
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