Database SQL Course With Queries Hands-On Training Using Microsoft SQL Server

Learn the basics of Database SQL with Microsoft SQL Server to develop real-world applications. Read more.

Mazhar

No ratings yet

Course Skill Level

Beginner

Time Estimate

3h 7m

Mazhar Hussain is currently in the role of Deep Learning and Computer Vision Engineer. He has extensive teaching experience at University Higher Education level and Online over a decade. He has published several research papers on Deep Learning in well-reputed Journals and Conferences. He believes on comprehensive practical trainings with stunning support for his students where all his courses are 100% hands-on with step-by-step problem-based learning, demos and examples. Mazhar Hussain is te

Access all courses in our library for only $9/month with All Access Pass

Get Started with All Access Pass Buy Only This Course

About This Course
Curriculum

About This Course

Who this course is for:

This course is specifically designed for anyone who is passionate to learn Database SQL Queries using SQL SERVER to develop real-world applications

What you’ll learn:

How to install a free version of SQL SERVER with Management Studio
Understand SQL SERVER Structure
Create database, drop database and use database
Create tables and insert data into tables
Use SELECT, WHERE, ORDER BY, TOP, (Logical, Special, and Comparison) Operators, ALIAS, Computed Column and CASE statement
Built-in SQL STRING and Numeric Functions, Data Types Conversion Functions, and SQL Date and Time Functions
SQL Aggregate Functions, GROUP BY with Aggregate Functions, and HAVING clause to filter out grouped item result
Use SQL JOINS to fetch and retrieve data from multiple tables with advanced and complex queries

Requirements:

You are required to install the Free Version of SQL SERVER with Management Studio
You do not need prior knowledge of SQL

Welcome to the Database SQL Course With Queries Hands-On Training Using Microsoft SQL Server Course.

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. 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.

Our Promise to You

By the end of this course, you will have learned Database SQL.

10 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.

Get started today!

Course Curriculum

Section 1 - Database SQL Introduction And Motivation
	Database SQL Introduction And Motivation	00:00:00
Section 2 - Installing SQL SERVER And Its Structure Understanding
	Installing SQL SERVER With Management Studio (Free Version)	00:00:00
	Understanding SQL SERVER Structure	00:00:00
Section 3 - Creating Database And Tables In SQL
	Creating Database In SQL SERVER	00:00:00
	CREATE, USE And DROP DATABASE (SQL CODE)	00:00:00
	Creating Tables In SQL SERVER	00:00:00
	EMPLOYEES TABLE (SQL CODE)	00:00:00
Section 4 - Select Statement In SQL
	SELECT Statement To Retrieve Data From Database Tables	00:00:00
	SELECT DISTINCT Statement To Return Only Unique ROWS In A Result-Set	00:00:00
Section 5 - Practice Session 1 (SELECT, DISTINCT)
	Coding Exercise 1: Practice Query (SELECT Statement)	00:00:00
	Solution Coding Exercise 1: Practice Query (SELECT Statement)	00:00:00
	Coding Exercise 1: Practice Query (SELECT DISTINCT)	00:00:00
	Solution Coding Exercise 1: Practice Query (SELECT DISTINCT)	00:00:00
Section 6 - WHERE Clause In SQL
	WHERE Clause To Filter Out ROWS Of A Table	00:00:00
Section 7 - ORDER BY Keyword In SQL
	ORDER BY Keyword To Sort The Result In Ascending Or Descending Order	00:00:00
Section 8 - Practice Session 2 (WHERE, ORDER BY)
	Practice Query (WHERE, ORDER BY)	00:00:00
	Solution - Practice Query (WHERE, ORDER BY)	00:00:00
Section 9 - TOP Clause In SQL
	TOP Clause To Select Number Or Percentage Of ROWS That Are In The Top Of Result	00:00:00
Section 10 - Logical Operators (OR, And, NOT) In SQL
	Logical Operators (OR, And, NOT) To Filter ROWS Based On More Than One Condition	00:00:00
Section 11 - Practice Session 3 (TOP, OR, AND, NOT)
	Practice Query (Top, NOT)	00:00:00
	Solution - Practice Query (Top, NOT)	00:00:00
	Practice Query (OR, AND)	00:00:00
	Solution - Practice Query (OR, AND)	00:00:00
Section 12 - Special Operators In SQL
	BETWEEN Special Operators To Check Whether An Attribute Value Is Within A Range	00:00:00
	In Special Operators Used For Matching Any Value Within A Value List	00:00:00
	IS NULL Special Operators To Check Whether An Attribute Value Is Null Or Not	00:00:00
	LIKE Special Operators Used For Matches A Given String Pattern	00:00:00
Section 13 - Practice Session 4 (BETWEEN, IS NULL, IN, LIKE)
	Practice Query (BETWEEN)	00:00:00
	Solution - Practice Query (BETWEEN)	00:00:00
	Practice Query (IN)	00:00:00
	Solution - Practice Query (IN)	00:00:00
	Practice Query (IS NOT NULL)	00:00:00
	Solution - Practice Query (IS NOT NULL)	00:00:00
	Practice Query (LIKE, %)	00:00:00
	Solution - Practice Query (LIKE, %)	00:00:00
	Practice Query (LIKE, _)	00:00:00
	Solution - Practice Query (LIKE, _)	00:00:00
Section 14 - Comparison Operators In SQL
	Comparison Operators To Compare A Given Value	00:00:00
Section 15 - ALIAS And Computed Column In SQL
	ALIAS To Give A Table Or A Column In A Table A Temporary Name	00:00:00
	Computed Column To Perform Arithmetic’s Operations On Columns	00:00:00
Section 16 - Practice Session 5 (Comparison Operators, ALIAS, Computed Column)
	Practice Query (Comparison Operators)	00:00:00
	Solution - Practice Query (Comparison Operators)	00:00:00
	Practice Query (ALIAS And Computed Column)	00:00:00
	Solution - Practice Query (ALIAS And Computed Column)	00:00:00
Section 17 - CASE Statement In SQL
	CASE Returns A Value On A Specified Condition Just Like If And Else	00:00:00
Section 18 - SQL STRING Built-In Functions
	Concatenate Two Different String Columns And Returns A Single Column	00:00:00
	Convert Strings To UPPER And LOWER CASE	00:00:00
	Get A Substring Or Part Of A String	00:00:00
	Retrieve The Length Of Strings	00:00:00
	Replace A NULL With A Value	00:00:00
	Replace, Replicate, And Reverse Strings Built-In Functions	00:00:00
Section 19 - Practice Session 6 (STRING Functions)
	Practice Query (STRING Functions)	00:00:00
	Solution - Practice Query (STRING Functions)	00:00:00
Section 20 - SQL Datatypes Conversion Built-In Functions
	Convert A Value Of Any Type Into A Specified Datatype	00:00:00
Section 21 - SQL Date And Time Built-In Functions
	Manipulate Year Part Of The Date	00:00:00
	Manipulate Month Part Of The Date	00:00:00
	Manipulate Day Part Of The Date	00:00:00
	Calculate Difference Between Two Dates	00:00:00
	Adds A Time Or Date Interval To A Date	00:00:00
Section 22 - Practice Session 7 (DATA And TIME Functions)
	Practice Query (DAY, MONTH, YEAR)	00:00:00
	Solution - Practice Query (DAY, MONTH, YEAR)	00:00:00
Section 23 - SQL Math Or Numeric Built-In Functions
	Perform Numeric Operation Using SQL Built-In Functions	00:00:00
Section 24 - Aggregate Functions In SQL
	Count Function Used To Tally Number Of Non-Null Values Of A Column	00:00:00
	Calculate Minimum And Maximum Values Of A Column	00:00:00
	Calculate Sum, Average And Standard Deviation Of A Column	00:00:00
Section 25 - Practice Session 8 (COUNT, MAX, MIN, SUM, AVG, STEDEV)
	Practice Query (COUNT, MAX, MIN)	00:00:00
	Solution - Practice Query (COUNT, MAX, MIN)	00:00:00
	Practice Query (SUM, AVG, STDEV)	00:00:00
	Solution - Practice Query (SUM, AVG, STDEV)	00:00:00
Section 26 - GROUP BY And HAVING CLAUSE
	GROUP BY To Summarize Result Across Small Grouped Items In The Database Table	00:00:00
	HAVING To Filters Result Based On The Output Of The Grouped Items	00:00:00
Section 27 - Practice Session 9 (GROUP BY, HAVING)
	Practice Query (GROUP BY)	00:00:00
	Solution - Practice Query (GROUP BY)	00:00:00
	Practice Query (HAVING)	00:00:00
	Solution - Practice Query (HAVING)	00:00:00
Section 28 - JOINS In SQL - Write Advance And Complex Queries
	Introduction To JOINS And Their Types	00:00:00
	Concept Of Relationships Using Foreign Key	00:00:00
	Tables For JOINS	00:00:00
	TABLES SQL CODE: EMPLOYEES MANAGEMENT SYSTEM	00:00:00
	INNER JOIN	00:00:00
	OUTER JOINS	00:00:00
	CROSS JOIN	00:00:00
	SELF JOIN	00:00:00
Section 29 - Practice Session 10 (JOINS)
	Tables SQL Code For Joins Practice Queries	00:00:00
	Practice Query (INNER JOIN)	00:00:00
	Solution - Practice Query (INNER JOIN)	00:00:00
	Practice Query (SELF JOIN)	00:00:00
	Solution - Practice Query (SELF JOIN)	00:00:00