Introduction to Data Extraction Using SQL
- Development
- Jan 25, 2025

Introduction to Data Extraction Using SQL, available at $39.99, has an average rating of 4, with 42 lectures, based on 39 reviews, and has 7734 subscribers.
You will learn about 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 This course is ideal for individuals who are Beginner SQL Developers or Beginners to SQL or Beginner Database Administrator It is particularly useful for Beginner SQL Developers or Beginners to SQL or Beginner Database Administrator.
Enroll now: Introduction to Data Extraction Using SQL
Summary
Title: Introduction to Data Extraction Using SQL
Price: $39.99
Average Rating: 4
Number of Lectures: 42
Number of Published Lectures: 42
Number of Curriculum Items: 42
Number of Published Curriculum Objects: 42
Original Price: $94.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
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
Course Curriculum
Chapter 1: Database Setup
Lecture 1: Introduction
Lecture 2: What is SQL
Lecture 3: What is PostgreSQL
Lecture 4: Installation Requirements
Lecture 5: Download PostgreSQL
Lecture 6: Install PostgreSQL for Windows
Lecture 7: Verify Installation
Lecture 8: Connect to Database
Lecture 9: Install PostgreSQL on Macs
Lecture 10: Some notable companies using PostgreSQL
Lecture 11: Loading Sample Database
Lecture 12: Basic Database Concepts
Chapter 2: Querying Columns
Lecture 1: Querying all columns in a table
Lecture 2: Querying specific columns
Lecture 3: Querying DISTINCT
Lecture 4: Querying data with INTERSECT Operator
Lecture 5: Querying data with UNION Operator
Lecture 6: Querying data with UNION ALL Operator
Chapter 3: Filtering Data
Lecture 1: Filtering with WHERE
Lecture 2: Filtering with WHERE AND
Lecture 3: Filtering with WHERE AND OR
Lecture 4: Filtering with BETWEEN
Lecture 5: Filtering with IN
Lecture 6: Filtering with NOT
Lecture 7: Filtering with LIKE
Lecture 8: Filtering with LIMIT
Lecture 9: Using Subqueries
Chapter 4: Summarize data with Aggregate Functions
Lecture 1: What are Aggregate Functions
Lecture 2: AVG Aggregate Function
Lecture 3: COUNT Aggregate Function
Lecture 4: SUM Aggregate Function
Lecture 5: MIN Aggregate Function
Lecture 6: MAX Aggregate Function
Chapter 5: Sorting and Grouping Query Results
Lecture 1: Sorting Columns
Lecture 2: Grouping Data with GROUP BY clause
Lecture 3: Filter groups with HAVING clause
Chapter 6: Query Multiple Tables using Joins
Lecture 1: Query with INNER Join
Lecture 2: Query with LEFT Join
Lecture 3: Query with Full Outer Join
Lecture 4: Query with CROSS Join
Lecture 5: Query with Natural Join
Lecture 6: Thank You
Instructors

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Frequently Asked Questions
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