MySQL Course Description
Introduction to the MySQL Course, specifically designed for those who want to learn SQL as a Developer, as a Cyber Security expert, and even for Data Science. MySQL is a common skill in this era.
This course is divided into 2 parts
- Free Version: this version covers the complete MySQL from start to advance.
- Paid: In Paid we’ll cover Addestion information like NoSQL, Redis, AWS, Big Data, Database Security, SDLC, Data Engineering(Kafka, Hadoop, etc..), and Much More
Why SQL?
Every company in this world is using Database. like
- The database is used to train AI
- Big Data (Demanding skill)
- Banks are using SQL
- The website is using SQL
- Mobile Applications are using SQL
- The sales team is using SQL for data analysis
- In Hacking, SQL injection is very important
- and Much More
Now as you can see Database is used in almost every job. Now it’s time to learn MySQL and gain a competitive advantage in the job market.
What you will learn in this MySQL Course
- Create your own Database or interact with existing database
- writing complex SQL join queries across multiple tables
- understand Whats a Different between SQL vs NoSQL
- Understand MongoDB vs MySQL vs PostgreSQL
- You can make business and market decisions based on user data
- You will learn websites and apps use Db for security like Passwords, Cards, Id, and permission access
- Understand Redis Database
- + More
What this SQL Course you will be able to work with all databases like PostgreSQL, MySQL, Oracle SQL, Microsoft SQL Server, IBM DB2, SQLite, MariaDB, Amazon Redshift, Presto, Apache Hive with Hadoop, and many more because of SQL.
this MySQL course is really enough for that job which only required SQL skills. This course will cover all of the modern toolchains for an SQL Developer or anyone using databases in the workplace (Product Manager, Business Analyst/ Intelligence, Data Analyst, Data Scientist, Machine Learning Engineer, Web Developer, Mobile Developer, and any role requiring any form of database).
let me tell you 2 reasons why this course s different from any other SQL Course.
- In this course, you will understand not just 1 but many Databases like Redis, SQLite, and all.
- I especially collect all information from actual professionals who have experience and have worked with databases for some of the large companies like Amazon, JP Morgan, EY, and much more
Introduction
1
Course Outline
2
Course Structure
3
What is Database?
4
Types of Databases
MySQL: Work with IMDB Database
1
Why IMDb Databse?
2
Download MySQL Course Recourse
3
Install MySQL
4
Load IMDB Data
5
MySQL: Order of Keywords
6
MySQL: Create DB
7
MySQL: USE, DESCRIBE and SHOW TABLES
MySQL: SELECT
1
SELECT
2
LIMITS
3
ORDER BY
4
DISTINCT
5
WHERE, COMPARISON OPERATORS & NULL
6
Logical Operators
7
Aggregate Functions: COUNT, MIN, MAX, AVG & SUM
8
GROUP BY
9
HAVING
MySQL: Join & Sub Queries
1
Join and Natural Join
2
Inner Join
3
Left Join
4
Right Join
5
Outer Join
6
Self Join
7
Sub Queries / Nested / Inner Queries
MySQL: Different Commands
1
DML: Insert
2
DML: UPDATE, DELETE
3
DDL: Create Table
4
DDL ALTER: ADD, MODIFY, DROP
5
DDL: DROP Table, TRUNCATE, DELETE
6
DCL: GRANT, REVOKE
Database Design
1
System Design and SDLC
2
SDLC Phases
3
System Design Deep Dive
4
Top and Bottom Approach
5
ER Model
6
Relational Model Extended
7
Relational Schema and instance
8
Super Key and Candidate Key
9
Primary Key and Foreign key
10
Compound Composite and Surrogate Key
11
Bottom Up Design
12
Anomalies
13
Normalization
14
Functional Dependencies
15
Normal Forms (NF)
16
0NF to 1NF
17
1NF to 2NF
18
2Nf and 3NF
19
Boyce codd NF
20
Why 4NF and 5NF is not useful
Database Landscape, Performance and Security
1
Scalability
2
Sharding
3
Replication
4
Backup
5
Distributed vs Centralized Database
6
Database Security
7
SQL Injection
8
All About Injections
9
Storing Password
10
Relational vs NoSQL, PostgreSQL vs MongoDB Databases
11
Future of Relational Databases
12
Elasticsearch
13
S3 objective Storage
Data Engineering
1
Data Engineering Introduction
2
Big Data & Analytics
3
What is Data
4
What is Data Engineer
5
Types of Databases
6
Hadoop, GDFS and MapReduce
7
Apache Spark and Apache Flink
8
Kafka and Stream Processing
Redis
1
What is Caching
2
Introduction to Redis
3
Install Redis
4
Redis Commands
5
Redis Data Types
6
Redis Hashes
7
Redis Listes
8
Redis Sets and Sorted Sets
No, you will learn Complete MySQL from start to end (It's a Free Course). Now what about others DB? almost every Database same and based on SQL. The Major difference is a way of working and handling data only.
But you will learn Why and Where to use other DB and Why they are also important for you
Yes, you can apply for jobs also but it depends on job requirements. If the Database is only a Requirement yes you can apply.
Yes, You Will Get a certificate in this course.
Yes, you can learn and you can also apply for jobs. And the Free Version of MySQL is a complete SQL course itself.
No prior Requirements for this course. but if you know any Programing and all it will be an extra benefit for you. you can create your own projects and applications.
Yes, SQL is a common skill with Software Developer, Data Engineer, Data Science, Mobile Developer, Game Developer, Web Developer, Cyber Security and much more.
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