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  • Create your own database or interact with existing databases
  • You will write basic to advance SQL queries
  • Troubleshoot everyday SQL database related issues
  • Have a detailed knowledge and understanding of using MySQL, one of the most widely used databases in the world.

Perfect for SQL course for beginners and first-time coders

If you want to learn how to gain insights from data but are too intimidated by databases to know where to start, then this course is for you. This course is a gentle but comprehensive introduction to MySQL, one of the most highly in-demand skills in the business sector today.


Help you understand and apply SQL with MySQL, including Database Design and Data Analysis.

Having database skills is absolutely vital for developers to avoid getting left behind and to maximize job and consulting opportunities.

Key concepts you will learn and work on within this course.

SQL (Structured Query Language - very much an in-demand technology).

MySQL (one of the world's most popular and widely used databases).

Database Design

Data Analysis


Creating, Modifying, and Deleting Tables in a Database

Inserting, Updating, and Deleting Data from Tables

Select Queries

Aggregate Functions

Creating Databases.

Who this course is for:

  • Anyone interested in learning SQL to help with their current job or to find a new role. SQL is one of today's most in-demand skills

  • Anyone looking to answer complex business problems and generate reports using data

  • Business owners, people in sales, or people in marketing roles who are interested in understanding company data better.

  • Developers who are looking to build applications (e.g. social network, e-commerce site) using MySQL

Your new job or consulting opportunity awaits!

Why not get started today?

Click the Signup button to sign up for the course!

  • No Database, SQL, or MySQL experience needed! Complete beginners to MySQL are welcome
  • No prior technical experience is required! All you need a computer!
  • Anyone interested in learning more about SQL, PostgreSQL, or basic data analysis!
  • Anyone interested in data analysis
  • Anyone who wants to learn about database and data management systems
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  • Section 1 : Introduction 2 Lectures 00:04:16

    • Lecture 1 :
    • Lecture 2 :
    • Select Statement
  • Section 2 : Creating Table 1 Lectures 00:06:54

    • Lecture 1 :
    • Creating a Table
  • Section 3 : Insert data into a table 1 Lectures 00:07:36

    • Lecture 1 :
    • Insert data into a table
  • Section 4 : Alter Data in a table 1 Lectures 00:03:21

    • Lecture 1 :
    • Alter Data in a table
  • Section 5 : Drop a column 1 Lectures 00:01:23

    • Lecture 1 :
    • Drop a column
  • Section 6 : Drop a row 1 Lectures 00:01:55

    • Lecture 1 :
    • Drop a row
  • Section 7 : Order by command 1 Lectures 00:03:55

    • Lecture 1 :
    • Order by command
  • Section 8 : Limit, Alias, Distinct 1 Lectures 00:05:00

    • Lecture 1 :
    • Limit, Alias, Distinct
  • Section 9 : WHERE, AND, OR, IN, BETWEEN 1 Lectures 00:09:17

    • Lecture 1 :
  • Section 10 : Aggregate and Group by command 1 Lectures 00:05:29

    • Lecture 1 :
    • Aggregate and Group by command
  • Section 11 : Project 1 18 Lectures 01:07:40

    • Lecture 1 :
    • Create database and drop table
    • Lecture 2 :
    • Create table and Foreign Key
    • Lecture 3 :
    • Insert data
    • Lecture 4 :
    • Update using SET
    • Lecture 5 :
    • Delete Records
    • Lecture 6 :
    • Display Specific Columns
    • Lecture 7 :
    • Display Specific Rows
    • Lecture 8 :
    • Lecture 9 :
    • WHERE - NOT
    • Lecture 10 :
    • Lecture 11 :
    • Equal to, Not Equal to
    • Lecture 12 :
    • Nested Queries
    • Lecture 13 :
    • LIKE Condition
    • Lecture 14 :
    • Lecture 15 :
    • Connect Two Tables
    • Lecture 16 :
    • JOINS
    • Lecture 17 :
    • EXCEPT
    • Lecture 18 :
    • Special Query
  • Section 12 : Instagram Clone Database 17 Lectures 00:47:26

    • Lecture 1 :
    • Create Database and Users Table
    • Lecture 2 :
    • Phots Table
    • Lecture 3 :
    • Comment Table
    • Lecture 4 :
    • Like Table
    • Lecture 5 :
    • Follows Table
    • Lecture 6 :
    • Tags Table
    • Lecture 7 :
    • Photos Tags Table
    • Lecture 8 :
    • Insert Data
    • Lecture 9 :
    • Query 1
    • Lecture 10 :
    • Query 2
    • Lecture 11 :
    • Query 3
    • Lecture 12 :
    • Query 4
    • Lecture 13 :
    • Query 5
    • Lecture 14 :
    • Query 6
    • Lecture 15 :
    • Query 7
    • Lecture 16 :
    • Query 8
    • Lecture 17 :
    • Query 9
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