DATABASE SQL Queries using SQL SERVER
Learn DATABASE SQL with Microsoft SQL SERVER with Exercises to Develop Real-world Database Applications from Beginner to Expert
Updated on Jun, 2025
Language - English
Development ,Database and Design Development,SQL
Lectures -88
Resources -10
Duration -3 hours
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Course Description
Welcome to the Database SQL Queries Hand-on Training with MS SQL SERVER.
We live in a technological era, we know that data is power, as we can extract knowledge and make important decisions. We live in an era where data is the most valuable asset and it’s being put at the heart of every decision-making process and databases are used to store data that can be easily:
Accessed
Managed
Modified
Updated
Analyzed
Controlled
Manipulated
SQL QUERIES are used to perform all these operations.
SQL is the top popular language after Python as compared to other languages. SQL skills are required for various jobs.
The top 10 high-paying jobs that demand SQL are:
Data Analyst
Database Developer
Database Administrator
Data Scientist
SQL Server Developer
Software Developer
Software Consultant
Net Developer
ETL Developer
Big Data Engineer
The average salary of a Database Developer is $98,415 per year.
Almost all of the biggest names in tech use SQL. NETFLIX, UBER, AIRBNB, INSTAGRAM, DROPBOX, TWITTER, LINKEDIN, and the list goes on. Even within companies like Facebook, Google, and Amazon, which have built their own high-performance database systems, data teams use SQL to query data and perform analysis.
SQL queries are used with almost every programming language to interact with the database in the backend. Real-world applications like web applications, desktop applications, and mobile applications store data in the database where SQL queries are used for data manipulation.
Goals
Students will learn how to install the Free Version of SQL SERVER with Management Studio and understand SQL SERVER Structure.
- CREATE DATABASE, DROP DATABASE & USE DATABASE, CREATE TABLES AND INSERT Data into TABLES.
Use SELECT, WHERE, ORDER BY, TOP, (Logical, Special & Comparison) Operators, ALIAS, Computed Column, and CASE statement.
- Learn Built-in SQL STRING & Numeric Functions, Datatypes Conversion Functions & SQL Date and Time Functions.
Learn SQL Aggregate Functions, GROUP BY with Aggregate Functions, and HAVING clause to filter out grouped item results.
- Learn and use SQL JOINS to fetch and retrieve data from multiple tables with advanced and complex queries.
Prerequisites
You are required to install the Free Version of Microsoft SQL SERVER with Management Studio.
You do not need prior knowledge of SQL.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction and Motivation
1 Lectures
-
Database SQL Introduction and Motivation
02:56
02:56
Installing SQL SERVER and its Structure Understanding
2 Lectures
Creating Database and Tables in SQL
4 Lectures
Select Statement in SQL
2 Lectures
Practice Session 1 ( SELECT, DISTINCT )
4 Lectures
WHERE Clause in SQL
1 Lectures
ORDER BY Keyword in SQL
1 Lectures
Practice Session 2 ( WHERE, OEDER BY )
2 Lectures
TOP Clause in SQL
1 Lectures
Logical Operators (OR, AND, NOT) in SQL
1 Lectures
Practice Session 3 ( TOP, OR, AND, NOT )
4 Lectures
Special Operators in SQL
4 Lectures
Practice Session 4 ( BETWEEN, IS NULL, IN, LIKE )
10 Lectures
Comparison Operators in SQL
1 Lectures
ALIAS and Computed Column in SQL
2 Lectures
Practice Session 5 ( Comparison Operators, ALIAS, Computed Column )
4 Lectures
CASE Statement in SQL
1 Lectures
SQL STRING Built-in Functions
6 Lectures
Practice Session 6 ( STRING Functions )
2 Lectures
SQL Datatypes Conversion Built-in Functions
1 Lectures
SQL Date and Time Built-in Functions
5 Lectures
Practice Session 7 ( DATA and TIME Functions )
2 Lectures
SQL Math/Numeric Built-in Functions
1 Lectures
Aggregate Functions in SQL
3 Lectures
Practice Session 8 ( COUNT, MAX, MIN, SUM, AVG, STEDEV )
4 Lectures
GROUP BY and HAVING CLAUSE
2 Lectures
Practice Session 9 ( GROUP BY, HAVING )
4 Lectures
JOINS in SQL - Write Advance & Complex Queries
8 Lectures
Practice Session 10 (JOINS)
5 Lectures
Instructor Details
Mazhar Hussain
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