SQL for Developers, Data Analysts and BI. MySQL for everyone


Be taught SQL with MySQL Workbench from zero. Nice match for learners in SQL, coders with any expertise or Information Analytics

What you’ll study

Create database or work together with present databases with SQL

Be taught and use: Regular types, Datatypes, Charset and Collation

Write advanced SQL queries throughout a number of tables with UNION and JOIN

Clear up hands-on assignments and real-world use instances

Description

Welcome to this MySQL course! I wish to begin by appreciating you for attempting to study a brand new ability. MySQL is among the hottest SQL databases.

What’s MySQL?

MySQL is at present the preferred database administration system software program. Its makes use of for managing relational databases. It’s open-source DB software program. MySQL assist by Oracle Firm. It’s a quick, scalable, and easy-to-use database administration system in contrast with Microsoft SQL Server or Oracle Database.
MySQL helps many Working Methods like Home windows, Linux, macOS, and so forth.

We’ll work with the take a look at database of staff. Let’s study concerning the information construction and varieties of this schema. Learn to create an EER diagram with the schema of the info and export it right into a ready-to-use SQL file.


On this course, you’ll:

  • Be taught the principle branches of SQL syntax
  • Work with the MySQL Workbench
  • Design the EER schemas and implement advanced databases
  • Use Datatypes, Keys, Charset and Collation
  • Analyze information utilizing Combination Features
  • Construct CRUD operations – INSERT, SELECT, UPDATE, DELETE
  • Be taught and use SQL joins
  • And extra!

I feel that RDBMS is among the essential abilities in Laptop Science and would assist you to in Laptop Programming. Working with the info as an expert is a continuing device that gained’t change over time. When you study SQL ones, this can be yours, perpetually, anytime, anyplace.

What Jobs Require Data of SQL?

  • Information Analytics
  • Product Analytics
  • Information Scientist
  • Backend or Database Engineer
  • SQL Server Database Administrator
  • Senior Internet or Utility Developer
  • MySQL Database Administrator
  • PHP Developer
  • NodeJS Developer
  • Lead Software program Engineer
  • Full Stack Engineer/Developer
English
language

Content material

Introduction

Set up information
A look on the Workbench
Information Normalization
SQL and RDBMS
Normalization and SQL

DDL = Information Definition Language

DDL evaluate, CREATE / DROP DATABASE
CREATE DATABASE assertion
CREATE / DROP TABLE intro
CREATE / DROP TABLE quiz
Integers
Floating-point numbers, precise precision and BIT
Numbers quiz
UTF8MB4 Character Set, Collation Defined
VARCHAR, TEXT, CHAR
BLOB, ENUM, SET
String quiz
Date and Time
DEFAULT values
Information Varieties

Indexes, Keys, ALTER

Binary Search, B-trees and Keys
Main and Distinctive keys. NOT NULL
Keys quiz
Overseas keys
Overseas Key Quiz
ALTER assertion
Easy methods to assemble any DDL assertion?
DDL Quiz

Workbench and EER (Enhanced Entity-Relationship) diagrams

EER diagram with workbench
Export DDL from EER
Import and Backup
Workbench and EER quiz
Equator

DML = Information Manipulation Language

Intro to DML
Insert
Add staff test_db
DML intro
SELECT + WHERE
Comparability Features and Operators
LIKE and String Comparability
SELECT and mates
ORDER BY, LIMIT, Subqueries
SELECT and ORDER BY
UPDATE
DELETE
INSERT, UPDATE, DELETE

Mighty Choose

Combination Features (COUNT, MAX, AVG and and so forth)
GROUP BY and HAVING
GROUP BY and Combination Features
UNION
Test your information of UNION
What’s the beast: JOIN Clause?
JOIN varieties defined with diagrams (not Venn!)
The Energy of JOIN
JOIN quiz
Information relations
Best N per group
Last take a look at

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