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SQL (Structured Query Language) is the standard language used to store, manage, and retrieve data from databases. This course is designed to help learners understand how databases work and how to write efficient SQL queries to handle real-world data. You will learn how companies use SQL to manage customer data, reports, and business insights. The course focuses on hands-on practice and real-time examples, making it suitable for beginners and professionals.

The SQL curriculum starts with database fundamentals and advances to complex query writing and optimization, allowing learners to work with real datasets and practice queries used in real-world scenarios.

Introduction to databases and SQL fundamentals.
Writing and executing basic SQL queries using SELECT statements.
Data filtering, sorting, and aggregation techniques.
Working with joins, subqueries, and relational database concepts.
Understanding indexes, views, and stored procedures.
Hands-on database exercises with real-time practical use cases.

Lessons In This Class

Database

Introduction to Database.

Relational Database Theory.

Database design.

Uses of Database.

Environment Overview.

Data Management System.

Connecting to Database.

Introduction to SQL.

Installing SQL server.

Schema.

SQL Syntax

Basic SQL syntax.

SELECT statements.

Selecting attributes.

Clauses.

Filtering data with Where clause.

Data Sorting with Order By Clause.

Selecting All columns.

Eliminating Duplicate value.

Concatenation.

Using Column Alias.

Select statements with arithmetic operators.

Relational Operators.

Likes & Wildcards.

Data Definition Language (DDL)

Building the schema objects.

Creating Database Objects.

Dropping Schema Objects.

Alter table statements.

Database Normalization.

Data Manipulation Language (DML)

Insert Statement.

Inserting Multiple rows.

Merge the data.

Merge Statement.

Simple Update and Delete Statements.

Transaction Control Language (TCL)

Commit and Rollback statements.

Implicit and Explicit Transactions.

Single Row Function

SQL functions Overview

Aggregate/Group Functions- Sum(), Avg(), count().

Having Clause.

Logical Functions.

Number Functions.

Date and Time Functions.

Conversion Functions.

Case Manipulation Functions.

User-defined Functions.

Analytical Function

Introduction to Analytical Function.

Ranking Data.

LAG and LEAD functions.

ROW_NUMBER

Dense_Rank

Pivot

Data Retrieve from Multiple Tables

Querying Multiple tables.

Joins.

Inner Joins and Equi Joins.

Self-Join.

Left Join and Right Join.

Cartesian Product.

Table aliases.

Set Operations.

Union and Union all.

Intersect Operators.

Define Subqueries.

Single-row and Multiple-row Sub-queries.

Using ANY and All operators in multiple row Subqueries.

Null values in a Subqueries.

Correlated Subqueries.

Subqueries vs Joins.

Indexes and Views

Define Index.

Types of Index.

Indexing for performance.

Maintaining Index.

Dropping Index.

Introduction to Views.

Types of Views.

Creating and using Views.

Materialized View

Introduction to Materialized View.

COMMIT option.

ON DEMAND option.

REFRESH FAST option.

Data Control Language

1. Grant Object Privileges.

2.Revoke Object Privileges.

3.Deny.

4.Create and Grant Privileges to a role.

Data Dictionary Objects

User_objects and User_objects.

Information of tables and columns.

Dictionary of views, constraints, synonyms information, sequence.

Data Dictionary Views.

Data Integrity and Constraints

Concepts of Data Integrity.

Data types and Constraints.

Primary key and Foreign Key.

Unique Constraints.

Check Constraints.

Introduction to store procedures.

Database Triggers.

Query Execution Plans

Performance Tuning.

Estimated Plans.

Query Plan cost.

Query optimization techniques.

Understanding Performance.

Advanced Concepts

Case statements.

Transforming the Data.

Table Partitioning.

Regular Expressions.

Hints.

SQL Loader

External Table.

Exception Handling.

Why Choose MAK Technologies?

Industry-Oriented Training

Real-Time Project Learning

Flexible Online Classes

Expert Mentor Support

Why You Should Learn SQL ?

Essential skill for data and software roles.
Easy to learn and widely used across industries.
Works with large volumes of data efficiently.
Required for data analysis and reporting.
Used in IT, finance, healthcare, and e-commerce.
Strong demand in the job market.
Improves data handling and problem-solving skills.
Foundation for advanced analytics and data science.

$150.99

Class Online
Language English, Tamil, Hindi
Certificate Yes
Level Beginner
Topic SQL

Other includes:

✓ Class recordings
✓ Online certification
✓ Online classes conducted Google Meet and Zoom
✓ Online interviews
✓ Foreign countries study guidance available

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Career Benefits of Learning SQL With Us

Frequently Asked Questions (FAQ)

Students, freshers, working professionals, and non-IT learners can join this course.

No. SQL is beginner-friendly and does not require prior coding experience..

Data Analyst, SQL Developer, Business Analyst, Software Tester, and Backend Developer.

Yes. SQL is useful for reporting, analysis, and decision-making roles.

Yes. The course includes real-time exercises and practical database projects.

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Lessons In This Class

Why Choose MAK Technologies?

Industry-Oriented Training

Real-Time Project Learning

Flexible Online Classes

Expert Mentor Support

Why You Should Learn SQL ?

$150.99

Other includes:

Other Course

Career Benefits of Learning SQL With Us

Frequently Asked Questions (FAQ)

Start Your IT Career with MAK Technologies

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SQL

Lessons In This Class

Why Choose MAK Technologies?

Industry-Oriented Training

Real-Time Project Learning

Flexible Online Classes

Expert Mentor Support

Why You Should Learn SQL ?

$150.99

Other includes:

Other Course

Career Benefits of Learning SQL With Us

Practical SQL training with real-world database scenarios.

Hands-on SQL query writing and performance optimization.

Industry-focused SQL curriculum with real-time examples.

Training from experienced database and data professionals.

Career-oriented learning aligned with current hiring requirements.

Support for SQL projects, assignments, and portfolio building.

Guidance for careers in data analysis, software development, and IT roles.

Frequently Asked Questions (FAQ)

01. Who can join the SQL course?

02.Do I need programming knowledge to learn SQL?

03. What jobs require SQL skills?

04. Is SQL useful for non-technical roles?

05. Will I get hands-on practice?

Start Your IT Career with MAK Technologies