SQL Database
SQL (Structured Query Language) is a popular programming language used for relational databases.
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COURSE OVERVIEW

This program will teach you everything you need to know to start using a relational database management system in the Web, the Cloud, and embedded applications. Database development and administration skills are required in most Information Technology, Software Engineering, Cybersecurity, and Computer Science jobs.Students gain valuable hands-on experience programming SQL queries in the labs. In addition to the applied SQL labs, you will also gain an understanding of relational databases in general, learning how to design your database, so it’s robust and efficient.

Furthermore, you will harness that power by learning SQL and using it to build databases, populate them with data, and query that data through extensive hands-on practices.

Infoclub LTD brings you the latest frameworks and paradigms currently being used by Database Administrator all over the world.

SQL DATABASE COURSE MODULES

LANGUAGE CHOICE

For the course, students must choose ONE of the following SQL Database to complete their course: 

• MYSQL
• SQL SERVER
• ORACLE
• POSTGRE SQL

INTRODUCTION TO BASIC DATABASE CONCEPTS

• What is Data, Field, Record and Database?
• Limitations of File Management System
• Basic Concepts of Advantages of DBMS
• Level of Abstraction
• Database Models
• Exploring Relational DBMS
• Understanding Client and Server

E-R MODELLING AND DIAGRAM

• Analyzing the requirement
• Identify Entities and their Relationships
• Drawing E-R Diagram
• Conversion of E-R Diagram into Tables

INTRODUCTION TO SQL

• Basics of SQL
• Types of SQL Statements
• DDL, DML, DCL and TCL
• Create Database using Management Studio
• Exploring DDL Statements on Table using Management Studio

DDL AND DML STATEMENTS

• CREATE, ALTER, INSERT, DROP Table Statement
• UPDATE and DELETE Statement
• TRUNCATE Statement

WORKING WITH QUERIES (DQL)

• Understanding SELECT Statement
• Usage of TOP, DISTINCT, NULL etc…...keywords
• Using String and Arithmetic Expressions
• Exploring WHERE clause with Operators
• Using Advanced Operators
• Sorting data using ORDER BY clause
• Working with basic of SUB Queries

AGGREGATE FUNCTIONS

• Using Functions in Queries
• Using predefined functions
• COUNT, SUM, MIN, MAX, AVG, GROUP BY and HAVING clause
• USING GROUP BY with ROLLUP and CUBE

JOINS AND SET OPERATIONS

• Introduction to Joins
• CROSS JOIN
• INNER JOIN
• OUTER JOIN
• SELF JOIN
• Co-related SUB queries
• SET Operations using UNIONS, INTERSECT and EXCEPT

IMPLEMENTING VIEWS

• Introduction & Advantages of Views
• Creating, Altering, Dropping Views
• Advance options while creating a view

DATA CONTROL LANGUAGE (DCL)

• Creating Users & Roles
• Granting & Revoking of Roles & Privileges
• Managing using Management Studio

WORKING WITH INDEXES

• Introduction to Clustered and Non-Clustered Index
• Creating and Dropping Indexes

WORKING WITH STORED PROCEDURES AND FUNCTIONS

• Introduction to stored procedures
• Benefits of stored procedures
• Creating, Executing, Modifying, Dropping
• Input-Output and Optional Parameters
• System defined stored procedures and functions
• User defined functions

BACKUP AND RESTORE

• Generating SQL Script
• Executing SQL Script
• Generating Change Script
• Taking database Backup
• Restoring database using backup
• Attaching and detaching of database

SQL DATABASE PROJECTS

To help candidates master SQL Database , they will normally to do at least ONE Project where they will develop & test a real-life scenario using SQL Data Management.

COURSE ORGANISATION & TIMING

We have created a schedule for this course to match with most availabilities.

The course is modular. Courses are hands-on(25% theory, 75% practice)

BENEFITS OF THIS COURSE

There are many benefits in becoming a Python Developer

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CONTACT US FOR MORE INFORMATION

Contact Us if you have any questions regarding this course. We are also available after hours for any requests.

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FAQs about this course

The best course depends on your goals. Popular options include Complete SQL Bootcamps, Microsoft SQL certifications, Oracle SQL, and PostgreSQL courses that cover both beginner and advanced topics.

Practice is key. Start with fundamentals like SELECT, INSERT, UPDATE, and DELETE, then move to joins, subqueries, and advanced queries. Using real databases, exercises, and projects accelerates learning.

Yes. SQL skills are essential for roles like database administrator, data analyst, backend developer, and business intelligence specialist, making it a valuable career path.

SQL is generally easier to learn than full programming languages because it focuses on querying and managing data rather than building complete applications.

With consistent practice, beginners can learn SQL basics in 2–4 weeks and achieve intermediate proficiency within 2–3 months.

Popular and widely used databases include MySQL, PostgreSQL, Microsoft SQL Server, and Oracle SQL. The best one depends on your project or career focus.

MySQL, PostgreSQL, and Microsoft SQL Server are among the most commonly used SQL databases in industries worldwide.

Not really. SQL has a relatively simple syntax, and beginners can quickly perform queries and manage data with practice. Advanced topics may take more time, but they are manageable with structured learning.

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