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Introduction to Data Extraction Using SQL

Posted By: Sigha
Introduction to Data Extraction Using SQL

Introduction to Data Extraction Using SQL
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 1.71 GB
Genre: eLearning Video | Duration: 41 lectures (4 hour, 53 mins) | Language: English

Master the basics of querying databases using SQL - The World's most popular database language


What you'll learn

Install Database Server
Query all data in a table
Query data from specific table
Query DISTINCT Data
Query data with various types of operators
Filter data
Sort Data
Query data using aggregate function
Query data using table joins
Query data with subqueries


Requirements

You should have access to internet
You should access to a computer ,Laptop or mac

Description

This introductory beginners course will help you master the basics of using SQL to query and retrieve data from databases.

You will learn how to filter & sort data, customize output, & how you can query aggregated data from a database.

In this course, we will focus on ANSI(American National Standards Institute) SQL that works on

every database like Oracle, MySQL, Microsoft SQL Server, PostgreSQL etc.


SQL has become a requirement for most database related jobs that include:

Database Administrator -DBA , Data analyst, BI (Business Intelligence) developer, programmer, database programmer.

SQL will let you communicate with the database and work with your data.


What You will learn include:

Writing SQL SELECT Statements

Eliminating duplicate rows using DISTINCT

Restricting and Sorting Data

WHERE clause, wildcard like IN, LIKE

Analysing data using various SQL Operators

Sorting data using ORDER BY clause

Using LIMIT Operator

Querying Aggregated Data Using the Group Functions

AVG, COUNT, MIN, MAX…

Using GROUP BY and HAVING Clauses

Displaying Data From Multiple Tables

Analysing data Using Subqueries

Filtering data

Who this course is for:

Beginner SQL Developers
Beginners to SQL
Beginner Database Administrator

Introduction to Data Extraction Using SQL


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