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Mastering Introductory SQL Made Easy Training Tutorial

Course Summary

Learn the basics of the SQL language as well as databases and tables in this introductory course.

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    Course Syllabus

    • Course Introduction
      • Course Introduction
    • Introduction to Databases and SQL
      • Overview of a Database
      • The ‘Flat-File’ Method of Data Storage
      • The Relational Model of Data Storage
      • Tips for Creating a Relational Database
      • What is SQL?
      • Using SQL in Access 2013
    • Data Definition Language
      • The CREATE Statement
      • The CREATE DATABASE Statement
      • The CREATE TABLE Statement
      • The CREATE INDEX Statement
      • SQL Constraints
      • The DROP Statement
      • The ALTER TABLE Statement
      • NULL Values in SQL
      • Data Types in SQL
      • Auto-Increment in SQL
    • Data Manipulation Language
      • The INSERT Statement
      • The UPDATE Statement
      • The DELETE Statement
      • The SELECT Statement
      • The WHERE Clause
      • Criteria Notation & Wildcard Characters in WHERE Clause
      • The ORDER BY Clause
      • The GROUP BY Clause and Aggregate Functions
      • The JOIN Clause
      • The UNION Operator
      • The SELECT INTO Statement
      • The INSERT INTO SELECT Statement
      • Subqueries
    • Data Control Language
      • The CREATE USER and CREATE ROLE Statements
      • Privileges
      • The GRANT Statement
      • The REVOKE Statement
      • The ALTER USER and ALTER ROLE Statements
      • The DROP USER and DROP ROLE Statements
    • Transaction Control Language
      • The TRANSACTION Statement
    • SQL Functions and Aliases
      • Understanding SQL Functions
      • Calculated Fields and Column Aliases
      • Table Aliases
    • Views
      • About Views
      • The CREATE VIEW Statement
      • The ALTER VIEW Statement
      • The DROP VIEW Statement
    • Conclusion
      • Course Conclusion
    • Instruction Manual
      • Introductory SQL Manual

Course Fee:
USD 47

Course Type:


Course Status:



1 - 4 hours / week

This course is listed under Open Source and Data & Information Management Community

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