SQL Made Easy for Beginners

BY
Udemy

Gain a practical understanding of the core concepts and methodologies associated with SQL and learn about MySQL and Oracle SQL.

Lavel

Beginner

Mode

Online

Fees

₹ 2299

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

The SQL Made Easy for Beginners certification course was created by Arun Motoori, a Professional Software Testing Blogger and Trainer, and is offered by Udemy which is meant for students who want to master the principles of the structured query language. The SQL Made Easy for Beginners online course by Udemy focuses on teaching the principles of MySQL and Oracle SQL, as well as basic and advanced concepts.

SQL Made Easy for Beginners online classes are intended to teach students the skills needed to use the SQL language using MySQL and Oracle SQL by covering all aspects of SQL from beginning to end in a detailed, practical, and solution-oriented manner. Students will gain the skills necessary to establish a Linux virtual machine and to work with advanced frameworks such as putty software as a result of this course.

The highlights

  • Certificate of completion
  • Self-paced course
  • 32 hours of pre-recorded video content
  • Learning resources

Program offerings

  • Online course
  • 30-day money-back guarantee
  • Unlimited access
  • Accessible on mobile devices and tv

Course and certificate fees

Fees information
₹ 2,299
certificate availability

Yes

certificate providing authority

Udemy

What you will learn

Sql knowledge

After completing the SQL Made Easy for Beginners online certification, students will be introduced to the fundamentals of SQL (structures query language). Students will learn about MySQL, Oracle SQL, and Oracle databases and how to use them. Students will learn about subqueries, JDBC, ODBC, statements, clauses, operators, and keywords. Students will also learn how to use the DBeaver Universal DB client tool, as well as the Linux virtual machine and putty software.

The syllabus

Introduction

  • Course Overview
  • Database Concepts (Database, DBMS, Data Models, RDBMS and SQL)

Practice different SQL Statements, Clauses, Keywords and Operators

  • How to Practice SQL without installing any Software?
  • Select Command
  • distinct keyword
  • SQL is not case sensitive
  • Semicolon
  • Where Clause
  • Using Relational Operators in Where Clause Condition
  • Using Logical Operators (AND, OR, NOT)
  • Between Operator
  • Order By Clause (ASC, DESC)
  • Using Between Operator with Text
  • In Operator
  • Like Operator and Wildcard Characters
  • Aliases for Table Column Names (AS Keyword)
  • Limit Keyword
  • Breaking the Lengthy SQL Statement into multiple lines

MySQL Built-in Functions

  • MySQL Built-in Functions
  • upper() MySQL String Function
  • lower() MySQL String Function
  • length() MySQL String Function
  • instr() MySQL String Function
  • substr() MySQL String Function
  • concat() MySQL String Function
  • trim() MySQL String Function
  • abs() MySQL Numeric Function
  • mod() MySQL Numeric Function
  • greatest() and least() MySQL Numeric Functions
  • truncate() MySQL Numeric Function
  • power() and sqrt() MySQL Numeric Functions
  • current_date(), curdate(), current_time(), curtime(), now() and
  • sysdate() MySQL
  • year(),month(),day,monthname(),dayname() MySQL Date Time
  • Functions
  • avg(), max(), min(), count() and sum() MySQL Aggregate
  • Functions
  • Arithmetic Operators

Practicing SQL on MySQL

  • Installing MySQL Server and Workbench Client for Practising
  • SQL
  • Creating, Deleting, viewing and using Databases
  • Creating,Viewing, Describing and Deleting Tables
  • Insert Into Statements (For inserting data into Tables)
  • Data Types
  • Null Value, Is Null Operator and Is Not Null Operator
  • Delete Statement (For Deleting the Records from Table)
  • Update Statement and Set Keyword (For Updating the Table
  • Records)
  • Rename statement and To Keyword (For Renaming Table Name)
  • Alter Statement, Add, Modify Column, Rename Column and
  • Drop Column Keywords
  • Set Autocommit
  • Commit Statement
  • Rollback Statement
  • Truncate Statement
  • Single Line and Multi-Line Comments
  • Group By Clause
  • Having Clause
  • Sequence of using where, group by, having and order by clauses

Set Operators

  • Set Operators
  • Union Operator
  • Union All Operator
  • Intersect Operator
  • Minus Operator

Sub Queries and Other Advanced Concepts

  • Tables and Aliases
  • Joins (Inner Join, Left Join, Right Join, Full Join and Self Join)
  • Sub Query (Explaining Single Row Sub Query by solving different SQL problems)
  • In Operator
  • Using In Operator with Multi-Row Sub Query
  • Using Any Operator in Multi-Row Sub Query
  • Using All Operator in Multi-Row Sub Query
  • Exists Operator
  • Using Sub Queries for retrieving the records from multiple tables
  • Using Multiple Sub Queries in a single SQL statement

Integrity Constraints and other advanced concepts

  • Integrity Constraints
  • Not Null (Integrity Constraint)
  • Unique (Integrity Constraint)
  • Primary Key (Integrity Constraint)
  • Foreign Key (Integrity Constraint)
  • Check (Integrity Constraint)
  • Default (Integrity Constraint)
  • auto_increment
  • Insert Into
  • AS Keyword
  • IfNull() function
  • Case, When,Then and End Keywords
  • Delimiter
  • Delimiter usage in Stored Procedures
  • Views
  • Indexes

JDBC and ODBC

  • JDBC (Connecting to MySQL Database from Java Programs)
  • ODBC

Client Tools and other topics

  • MySQL Shell Command Line Tool
  • MySQL Command Line Client
  • Using default Windows Command Prompt for connecting to MySQL Server
  • Types of SQL Statements
  • Grant and Revoke SQL Statements
  • Temporary Tables
  • Show Columns, Show Indexes, Show Privileges, and Show Grants
  • Statements
  • Inserting Null
  • Using trim() for trimming the corner characters of the specified
  • Table values
  • Using wild-cards as normal characters
  • Database Objects

Using MySQL In Linux Machine and Putty Software

  • Creating Linux Virtual Machine
  • Installing MySQL Server in Linux Ubuntu Machine
  • Using Putty for Connecting to a Remote Machine having MySQL
  • and performing SQL

Oracle SQL

  • Oracle Database, SQL Plus, SQL Developer and Executing SQL
  • Queries
  • Oracle SQL Queries
  • Oracle SQL Built-in functions
  • Oracle SQL Queries (Part 2)
  • Oracle SQL Queries (Part 3)
  • Oracle SQL Queries (Part 4)
  • Oracle SQL Queries (Part 5)

Other Tools for SQL

  • DBeaver Universal DB Client Tool
  • XAMPP for Practicing SQL

Interview Questions

  • Question 1
  • Question 2
  • Question 3
  • Question 4
  • Question 5
  • Question 6
  • Question 7
  • Question 8
  • Question 9
  • Question 10
  • Question 11
  • Question 12
  • Question 13
  • Question 14
  • Question 15
  • Question 16
  • Question 17
  • Question 18

Instructors

Mr Arun Motoori

Mr Arun Motoori
Instructor
Freelancer

Articles

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