Training Course in Structured Query Language (SQL) |Smart

Overview

Why Attend

The Structured Query Language (SQL) course is one of the foundational training programs that offers participants a deep understanding of how to interact with databases through SQL. In today's data-driven world, the ability to manage and organize information has become an essential part of any business or technical operation. SQL is the primary language in this field, enabling users to retrieve, modify, manage, and store data efficiently.

Through this course, participants will gain a comprehensive understanding of the fundamentals and advanced techniques in SQL, which will allow them to effectively use this language to work with various databases. Participants will learn how to construct SQL queries, work with tables, perform advanced calculations, and handle relational data across different tables using advanced join techniques.

Course Objectives

By the end of the course, participants will be able to:

Who Should Attend?

Beginner developers who wish to learn the basics and advanced techniques in SQL.
Data analysts looking to improve their skills in data management and querying.
Database specialists who want to deepen their understanding of working with SQL more effectively.
Technology students aiming to master SQL as part of their academic or professional studies.

Knowledge and Benefits:

After completing the program, participants will be able to master the following:

Be empowered to write SQL queries with the correct syntax.
Gain a comprehensive understanding of how to manage data within databases using SQL.
Acquire the necessary skills to perform advanced operations such as filtering, sorting, and joining tables.
Learn how to create and modify databases and tables.
Be able to apply SQL effectively in real-world work environments.

Course Outline

Introduction to SQL

What is SQL and its Importance
- Introduction to SQL and its uses in database management.
- Difference between SQL and other programming languages.
- The importance of SQL in data analysis and software development.
Types of Database Management Systems (DBMS)
- Familiarity with popular DBMS like MySQL, PostgreSQL, Oracle.
- Understanding how to choose a DBMS based on project requirements.
- Comparing DBMS systems in terms of performance and features.
Database Components
- Introduction to tables, rows, and columns.
- Understanding basic database concepts such as relationships between tables.
- Explanation of different data types (e.g., text, numbers, dates).

Creating Databases and Tables

Creating a Database using SQL
- How to use the CREATE DATABASE command.
- Basic rules for naming databases.
- Ensuring the successful creation of a database.
Creating Tables and Defining Data Types
- Using the CREATE TABLE command to create tables.
- Defining appropriate data types for each column.
- Using basic constraints like NOT NULL, UNIQUE.
Adding Basic Constraints
- Defining primary keys and using them.
- Setting up foreign keys to link tables.
- Adding indexes to improve query performance.

Querying Data (SELECT)

SELECT Query to Retrieve Data
- How to write a SELECT query to retrieve data from a table.
- Specifying columns to retrieve.
- Using DISTINCT for unique filtering.
Filtering Data Using WHERE
- Using the WHERE clause to filter data.
- Learning comparison operators like =, >, <, BETWEEN.
- Using logical operators like AND, OR, NOT.
Sorting Data Using ORDER BY
- Using the ORDER BY command to sort results.
- Choosing between ascending (ASC) or descending (DESC) order.
- Using multi-column sorting to refine query results.

Data Manipulation (INSERT, UPDATE, DELETE)

Inserting Data with INSERT
- How to insert new data into tables using INSERT INTO.
- Adding multiple rows in a single query.
- Ensuring successful data insertion.
Updating Data with UPDATE
- How to use UPDATE to modify existing data.
- Applying the WHERE clause to target specific records.
- Avoiding random data modifications.
Deleting Data with DELETE
- Using DELETE to remove data from tables.
- The difference between DELETE and TRUNCATE.
- The importance of using WHERE to specify target records.

Joining Tables (JOIN)

INNER JOIN
- Using INNER JOIN to combine multiple tables.
- Retrieving data that is common between tables.
- Understanding the impact of INNER JOIN on retrieved data.
LEFT JOIN
- Using LEFT JOIN to retrieve all records from the first table.
- Retrieving missing records from the second table.
- Comparing LEFT JOIN with RIGHT JOIN.
RIGHT JOIN
- Understanding how to use RIGHT JOIN.
- Retrieving all records from the second table.
- The difference between LEFT JOIN and RIGHT JOIN in data retrieval.

Mathematical Operations and Functions in SQL

Mathematical Functions in SQL
- Using arithmetic operators like +, -, *, / in queries.
- Performing mathematical operations on columns.
- Handling missing values (NULL).
Aggregate Functions
- Using functions like COUNT(), SUM(), AVG().
- Applying GROUP BY to group data by a column.
- Using HAVING to filter results after grouping.
String and Date Functions
- Working with strings using functions like CONCAT(), LENGTH(), SUBSTRING().
- Using date functions like NOW(), DATE(), YEAR().
- Formatting text and date data to meet specific requirements.

Advanced Filters and Grouping

Using GROUP BY for Data Grouping
- How to group data using GROUP BY.
- Applying GROUP BY to multiple columns.
- Understanding the difference between GROUP BY and ORDER BY.
Filtering Groups Using HAVING
- Using HAVING to filter data after grouping.
- Comparing HAVING with WHERE in SQL queries.
- Applying complex conditions with HAVING.
Subqueries
- Introduction to subqueries and how to use them.
- A subquery inside the main query.
- Using, EXISTS with subqueries.

Keys and References Between Tables

Primary Keys
- Understanding primary keys and their role in ensuring record uniqueness.
- How to define a primary key when creating a table.
- Ensuring that the primary key is unique and non-repetitive.
Foreign Keys
- Defining foreign keys and their role in linking tables.
- How to add a foreign key to a table.
- Ensuring data integrity using foreign keys.
Constraints for Data Integrity
- Using constraints like UNIQUE, CHECK, DEFAULT.
- The importance of maintaining data integrity through constraints.
- Applying constraints to ensure valid data entry.

Schedule & Fees

2026 Schedule & Fees

18 - 22 Oct, 2026

English

Per participant USD 2,900

18 - 22 Oct, 2026

Arabic

Per participant USD 2,900

15 - 19 Nov, 2026

English

Per participant USD 2,900

15 - 19 Nov, 2026

Arabic

Per participant USD 2,900

2027 Schedule & Fees

17 - 21 Jan, 2027

English

Per participant USD 2,900

17 - 21 Jan, 2027

Arabic

Per participant USD 2,900

14 - 18 Feb, 2027

English

Per participant USD 2,900

14 - 18 Feb, 2027

Arabic

Per participant USD 2,900

18 - 22 Apr, 2027

English

Per participant USD 2,900

18 - 22 Apr, 2027

Arabic

Per participant USD 2,900

16 - 20 May, 2027

English

Per participant USD 2,900

16 - 20 May, 2027

Arabic

Per participant USD 2,900

18 - 22 Jul, 2027

English

Per participant USD 2,900

18 - 22 Jul, 2027

Arabic

Per participant USD 2,900

15 - 19 Aug, 2027

English

Per participant USD 2,900

15 - 19 Aug, 2027

Arabic

Per participant USD 2,900

17 - 21 Oct, 2027

English

Per participant USD 2,900

17 - 21 Oct, 2027

Arabic

Per participant USD 2,900

14 - 18 Nov, 2027

English

Per participant USD 2,900

14 - 18 Nov, 2027

Arabic

Per participant USD 2,900