https://github.com/yopopova/sql_databases_mysql_and_postgresql_udemy
All tasks and exercises from Udemy's 'SQL - The Complete Developer's Guide (MySQL, PostgreSQL)' course.
https://github.com/yopopova/sql_databases_mysql_and_postgresql_udemy
course databases mysql postgresql sql udemy
Last synced: about 2 months ago
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All tasks and exercises from Udemy's 'SQL - The Complete Developer's Guide (MySQL, PostgreSQL)' course.
- Host: GitHub
- URL: https://github.com/yopopova/sql_databases_mysql_and_postgresql_udemy
- Owner: yopopova
- License: mit
- Created: 2025-04-25T08:09:21.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-13T06:14:06.000Z (about 1 year ago)
- Last Synced: 2025-05-13T07:25:26.283Z (about 1 year ago)
- Topics: course, databases, mysql, postgresql, sql, udemy
- Language: SQL
- Homepage:
- Size: 24.4 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# SQL Databases (MySQL and PostgreSQL) | Udemy
SQL is a standardized language and therefore learning SQL will help you apply it in all kinds of contexts. Nonetheless, different database systems also support different aspects of SQL or bring their own variations of the SQL language. Therefore, this course dives into SQL by exploring all key features at the example of the two most popular database systems: MySQL and PostgreSQL. All query and command examples are shown for both database systems, ensuring that you feel comfortable working with SQL in either environment!
## Skills
- What exactly SQL is and how the core syntax looks like
- How to write SQL commands
- How to install MySQL & PostgreSQL as well as various clients
- How to create and structure database tables
- Which data types you may use and when to use which data type
- How to perform CRUD operations: Create, Read, Update & Delete Data
- How to insert data into tables
- How to query and filter data
- Why you should split data across multiple tables (and how to do that)
- How to join (merge) data into combined result sets
- How to write basic and more complex queries
- How to aggregate and group data
- How to use built-in database functions to work with numbers, text or dates
- How to optimize databases with indexes