Introduction to Data Extraction Using SQL

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Introduction to Data Extraction Using SQL provided by Udemy is a comprehensive online course, which lasts for 4-5 hours worth of material. Introduction to Data Extraction Using SQL is taught by Bluelime Learning Solutions. Upon completion of the course, you can receive an e-certificate from Udemy. The course is taught in Englishand is Paid Course. Visit the course page at Udemy for detailed price information.

Overview
  • 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

    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