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SELECT * INSERT UPDATE DELETE JOIN GROUP BY WHERE ORDER BY HAVING CREATE
Master Database Management

SQL Training
Curriculum

Learn the language that powers every data-driven application. From basic queries to complex joins, master SQL in just 4 intensive days of hands-on training.

4 Training Days
25+ Topics Covered
10+ Practice Queries
SELECT name, skills
FROM students
WHERE course = 'SQL'
Day-wise Curriculum

SQL Delivery Plan

A structured 4-day journey from database fundamentals to advanced SQL mastery

Day 12

Database Fundamentals & SQL Basics

Basics of Database & its Types
SQL Data Types
SQL Operators
CREATE Statement
INSERT Statement
Relational vs Non-Relational DB
CREATE TABLE employees (
  id INT PRIMARY KEY,
  name VARCHAR(50),
  salary DECIMAL(10,2)
);

INSERT INTO employees VALUES
(1, 'John Doe', 50000.00);
Day 13

Data Manipulation & Retrieval

DROP Statement
TRUNCATE Statement
DELETE Statement
ALTER Statement
UPDATE Statement
SELECT Statement
RANGE Operator
IN Operator
Wildcard Characters
SELECT * FROM employees
WHERE salary BETWEEN 40000 AND 80000;

UPDATE employees
SET salary = salary * 1.10
WHERE department IN ('IT', 'Sales');
Day 14

Filtering, Grouping & Aggregation

LIKE Operator
WHERE Clause
SQL Constraints
COUNT Function
SUM Function
AVG Function
MAX / MIN Functions
GROUP BY Clause
ORDER BY Clause
SELECT department,
    COUNT(*) AS emp_count,
    AVG(salary) AS avg_salary
FROM employees
WHERE name LIKE 'J%'
GROUP BY department
ORDER BY avg_salary DESC;
Day 15

Advanced SQL & Complex Queries

HAVING Clause
INNER JOIN
LEFT JOIN
RIGHT JOIN
FULL OUTER JOIN
CASE Statements
Complex Queries
Doubt Clearing Session
SELECT e.name, d.dept_name,
    CASE
        WHEN e.salary > 70000 THEN 'Senior'
        ELSE 'Junior'
    END AS level
FROM employees e
INNER JOIN departments d
    ON e.dept_id = d.id
HAVING COUNT(*) > 5;
What You'll Master

Skills You Will Gain

Comprehensive SQL skills for data analysis and database management

Database Design

Create and structure databases with proper schemas and relationships

Data Querying

Write efficient SELECT queries to retrieve exactly what you need

Data Manipulation

Insert, update, and delete data with precision and safety

Data Aggregation

Summarize data using GROUP BY, HAVING, and aggregate functions

Table Joins

Combine data from multiple tables using various JOIN types

Complex Queries

Build advanced queries with subqueries and CASE statements

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