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GeezerVison is showing github.com — GitHub - Pankaj-Str/SQL-tutorial

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Day 01 Introduction to SQL
Day 01 Introduction to SQL
 
 
Day 02 MySQL
Day 02 MySQL
 
 
Day 03 SQL Database
Day 03 SQL Database
 
 
Day 04 Types of SQL Databases
Day 04 Types of SQL Databases
 
 
Day 05 SQL Table
Day 05 SQL Table
 
 
Day 06 SQL Queries
Day 06 SQL Queries
 
 
Day 07 SQL Operators and Clauses
Day 07 SQL Operators and Clauses
 
 
Day 08 SQL Keys
Day 08 SQL Keys
 
 
Day 09 SQL Indexes
Day 09 SQL Indexes
 
 
Day 10 SQL Function
Day 10 SQL Function
 
 
Day 11 SQL Joins
Day 11 SQL Joins
 
 
Day 12 SQL Views
Day 12 SQL Views
 
 
Day 13 SQL transaction
Day 13 SQL transaction
 
 
Dummy_DataBase
Dummy_DataBase
 
 
Example-File
Example-File
 
 
Project
Project
 
 
01 Introduction.md
01 Introduction.md
 
 
README.md
README.md
 
 

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SQL


SQL Launchpad: Exploring the Data Universe

1. SQL Setup and Basics

  • Introduction to MySQL (1 Hour)

    • Overview of SQL and its importance.
    • Introduction to MySQL, installation, and setup.
    • Basic commands and environment familiarity.
  • First View of Data (1 Hour)

    • Understanding the MySQL interface.
    • Navigating through the MySQL environment.
    • Viewing and exploring sample datasets.
  • Understanding Databases, Tables, and Rows (1 Hour)

    • What is a Database?
    • The concept of Tables and Rows.
    • Practical example of creating a simple database.
  • Data Types and Expressions (1 Hour)

    • Introduction to SQL Data Types.
    • Understanding expressions in SQL.
    • Examples and use cases.
  • Assignment (2/2)

    • Practical exercises on MySQL setup, database creation, and exploring data.
    • Simple tasks to familiarize students with data types and basic commands.

Total Duration: 4 Hours


2. Crafting SQL Databases (DDL) & Mastering Data Control (DML)

  • Creation of Table (1 Hour)

    • Understanding Data Definition Language (DDL).
    • Syntax and examples of creating tables.
    • Practical exercise on creating a table with various data types.
  • Modifying the Structure of a Table (1 Hour)

    • ALTER TABLE statement.
    • Adding, modifying, and deleting columns.
    • Real-world scenarios of table modification.
  • Dropping a Table (0.5 Hour)

    • DROP TABLE statement.
    • Consequences and best practices.
    • Example and cautionary advice.
  • INSERT Statement (0.5 Hour)

    • Understanding Data Manipulation Language (DML).
    • Syntax and examples of the INSERT statement.
    • Inserting data into tables with practical examples.
  • UPDATE Statement (0.5 Hour)

    • Syntax and examples of the UPDATE statement.
    • Updating records based on conditions.
    • Practical exercises.
  • DELETE Statement (0.5 Hour)

    • Syntax and examples of the DELETE statement.
    • Deleting records based on conditions.
    • Practical exercises and best practices.
  • Constraints (0.5 Hour)

    • Understanding constraints (Primary Key, Foreign Key, Unique, etc.).
    • Implementing constraints during table creation.
    • Practical examples and exercises.
  • Assignment (5/1)

    • Practical tasks on creating, modifying, and managing tables.
    • Exercises on inserting, updating, and deleting data.
    • Implementing constraints in real-world scenarios.

Total Duration: 4 Hours


3. Querying into Data (DQL)

  • SELECT Statement (1 Hour)

    • Understanding Data Query Language (DQL).
    • Syntax and practical examples of SELECT.
    • Querying data from tables with various conditions.
  • WHERE Clause Search Condition (0.5 Hour)

    • Applying conditions to queries.
    • Using the WHERE clause with various operators.
    • Practical examples and exercises.
  • Arithmetic, Comparison, and Logical Operators (0.5 Hour)

    • Using operators within SQL queries.
    • Practical examples of combining operators with the WHERE clause.
  • Range Operator (0.5 Hour)

    • Understanding and using the BETWEEN operator.
    • Practical examples and exercises.
  • List Operator (0.5 Hour)

    • Using the IN operator in SQL.
    • Examples of querying data within a list of values.
  • LIKE Operator (0.5 Hour)

    • Using the LIKE operator for pattern matching.
    • Practical examples with wildcard characters.
  • Using ORDER BY, DISTINCT, and TOP (0.5 Hour)

    • Sorting results with ORDER BY.
    • Removing duplicates with DISTINCT.
    • Limiting results with TOP.
    • Practical exercises and examples.
  • Using IS NULL and IS NOT NULL (0.5 Hour)

    • Querying for NULL values.
    • Practical examples and scenarios.
  • CASE Statement (0.5 Hour)

    • Conditional logic within SQL queries using CASE.
    • Practical examples and exercises.
  • Assignment (14/0)

    • Practical tasks on querying data with various conditions.
    • Exercises on using operators, pattern matching, and sorting.
    • Real-world scenarios for data extraction.

Total Duration: 4 Hours


4. SQL Fundamental Assessment (2 Hours)

  • Comprehensive assessment covering:
    • SQL Setup and Basics.
    • Database and Table creation, modification, and control.
    • Data Querying and retrieval.
  • The assessment will consist of:
    • Multiple choice questions.
    • Practical SQL queries.
    • Real-world problem-solving scenarios.

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