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Extreme MySQL Course From beginners to Master

      Author: Delcan   |   24 September 2021   |   comments: 0

Extreme MySQL Course From beginners to Master
Extreme MySQL Course From beginners to Master
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 229 lectures (9h 58m) | Size: 2.18 GB

Comprehensive SQL data analysis master course that will guide you from complete beginner to a professional levelWhat you'll learn:
Master SQL operations required for MySQL database management.
Master data processing and business data analysis using SQL.
Gain an understanding of databases.
Master RDS MySQL database construction and implement using major AWS services.

Requirements
Even beginners to this are of study, such as students or new employees, should feel free to join this course without any prerequisite knowledge. All necessary information will be covered step by step in the course.

Description
This stand-alone master course will provide you with needed the training to become a professional SQL user, starting from a complete beginner's level! You will gain the knowledge required to operate databases, gaining hands-on practice using RDS MySQL on Amazon Web Services (AWS). Through in-depth theory and practical application, you will become a professional in SQL data analysis with ease.

[The goal of this course]

-You will learn how to build a functioning MySQL environment using AWS.

-You will learn necessary SQL commands and SQL best practices

-You will gain a practical understanding of how to conduct data analysis using SQL queries.

Master MySQL SQL and gain confidence in operating AWS services using databases for a an exciting future in data analysis, application development and much more.

[Concept of this course]

Combining theory and practice maximizes the learning effect.

1. Database and Acquisition of SQL knowledge

2. Hands-on training Practical Training

3. Business Case Analysis

[Section list]

Your First MySQL DB and SQL Experience

You will experience SQL operations by implementing MySQL database construction using AWS

Databases and SQL Overview

You will learn basic knowledge about databases and SQL.

Create Database

You will learn to use SQL to manipulate queries to create databases and tables.

Insert and update data

You will learn how to register, update, and delete data from tables using SQL.

SQL Coding Know-how

You will learn about the best way to code SQL.

Database detail settings

You will learn how to set up tables in detail, including associations between tables and setting options.

Database setting exercises

You will conduct case study exercises using SQL know-how on database construction

Restore database

You will create a database to be used in the future SQL operation learning using the migration file.

SQL Data Extract Know how

You will learn to extract data using condition statement such as WHERE and HAVING

SQL Logical Operators

You will learn to operate data using various SQL Logical Operators such as AND, OR, Equal sign, inequality sign

SQL Functions

You will learn how to perform simple operations and statistics such as numerical calculations and summation.

JOIN and UNION

You will learn how to join tables using JOIN and how to join SELECT statements using UNION.

VIEW

You will learn how to use VIEW is sets of complex queries that can be called up at any time.

Subqueries

You will learn how to use subqueries to concatenate multiple queries to create complex SQL queries.

Stored procedure

You will learn how to create a stored procedure that summarizes a series of operations on a database.

MySQL for Applications

You will learn how to use SQL in code for Application by Hands-on training to embed MySQL in your application.

[About AWS usage fees]

AWS usage fees will be incurred when implementing the lectures in this course, but we will try to keep the costs as low as possible.

Who this course is for
New members into the IT industry/ an IT company
Those who are interested in a future with data analytics
Those who want to work as database engineer.

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