DATABASE SQL Queries Hands-on Training with MS SQL SERVER

Quick Learn DATABASE SQL with Microsoft SQL SERVER to Develop Real-world Database Applications from Beginner to Expert.

Welcome to the Database SQL Queries Hand-on Training with MS SQL SERVER.

What you’ll learn

  • Students will learn how to install Free Version of SQL SERVER with Management Studio and understand SQL SERVER Structure..
  • CREATE DATABASE, DROP DATABASE & USE DATABSE, 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 result..
  • Learn and use SQL JOINS to fetch and retrieve data from multiple tables with advanced and complex queries..

Course Content

  • Introduction and Motivation –> 1 lecture • 3min.
  • Installing SQL SERVER and its Structure Understanding –> 2 lectures • 5min.
  • Creating Database and Tables in SQL –> 4 lectures • 10min.
  • Select Statement in SQL –> 2 lectures • 6min.
  • Practice Session 1 ( SELECT, DISTINCT ) –> 2 lectures • 1min.
  • WHERE Clause in SQL –> 1 lecture • 4min.
  • ORDER BY Keyword in SQL –> 1 lecture • 8min.
  • Practice Session 2 ( WHERE, OEDER BY ) –> 1 lecture • 1min.
  • TOP Clause in SQL –> 1 lecture • 7min.
  • Logical Operators (OR, AND, NOT) in SQL –> 1 lecture • 12min.
  • Practice Session 3 ( TOP, OR, AND, NOT ) –> 2 lectures • 1min.
  • Special Operators in SQL –> 4 lectures • 22min.
  • Practice Session 4 ( BETWEEN, IS NULL, IN, LIKE ) –> 5 lectures • 1min.
  • Comparison Operators in SQL –> 1 lecture • 3min.
  • ALIAS and Computed Column in SQL –> 2 lectures • 5min.
  • Practice Session 5 ( Comparison Operators, ALIAS, Computed Column ) –> 2 lectures • 1min.
  • CASE Statement in SQL –> 1 lecture • 5min.
  • SQL STRING Built-in Functions –> 6 lectures • 16min.
  • Practice Session 6 ( STRING Functions ) –> 1 lecture • 1min.
  • SQL Datatypes Conversion Built-in Functions –> 1 lecture • 5min.
  • SQL Date and Time Built-in Functions –> 5 lectures • 16min.
  • Practice Session 7 ( DATA and TIME Functions ) –> 1 lecture • 1min.
  • SQL Math/Numeric Built-in Functions –> 1 lecture • 6min.
  • Aggregate Functions in SQL –> 3 lectures • 15min.
  • Practice Session 8 ( COUNT, MAX, MIN, SUM, AVG, STEDEV ) –> 2 lectures • 1min.
  • GROUP BY and HAVING CLAUSE –> 2 lectures • 15min.
  • Practice Session 9 ( GROUP BY, HAVING ) –> 2 lectures • 1min.
  • JOINS in SQL – Write Advance & Complex Queries –> 8 lectures • 28min.
  • Practice Session 10 (JOINS) –> 2 lectures • 1min.

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Requirements

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. Top 10 high paying jobs that demand SQL are:

  1. Data Analyst
  2. Database Developer
  3. Database Administrator
  4. Data Scientist
  5. SQL Server Developer
  6. Software Developer
  7. Software Consultant
  8. Net Developer
  9. ETL Developer
  10. 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 programing 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.

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