SQL - The Complete Developer's Guide (MySQL, PostgreSQL)

The most important query language you can learn is SQL! Many popular relational database management systems, such as MySQL and PostgreSQL, employ it. However, data analysis and big data frameworks and tools such as Apache Spark use it. As a result, learning SQL offers up a plethora of options and occupations - whether you want to work with relational databases or become a data scientist, knowing SQL is essential!


This course will teach you SQL from the bottom up in great detail! In addition, there are two main paths you can take with this course: The "Complete Course" option takes you step by step through the whole course, teaching you all of the major features and concepts you need to know. The "Quick Summary" approach will teach you the most important SQL concepts in just a few hours.

Both paths are included in this course (i.e. with a single purchase), and you can choose to study one or the other, depending on your needs. Simply go to the free introductory course section to discover everything there is to know about this course and these two paths (and how to take them).

Because SQL is a standardized language, you'll be able to use it in a variety of situations. Different database systems, on the other hand, support different features of SQL or provide their own SQL variants. As a result, this course delves into SQL by looking at all of its essential features using the two most common database systems, MySQL and PostgreSQL. All query and command examples are presented for both database systems, so you can work with SQL in either environment!

This course will teach you how to write your own SQL queries (simple or sophisticated), how to design basic and advanced databases and table structures, and how to interact with data of various shapes and complexity!


What you will learn

  • Understand the fundamental SQL concepts and syntax.
  • Ability to install MySQL and PostgreSQL, as well as many clients
  • CRUD (create, read, update, and delete) operations in SQL
  • Data (simple and complicated) can be queried and filtered.
  • Data should be normalized and spread over many tables.
  • Perform data aggregation and merge processes.


Who this course is for

  • Beginner SQL developers or data scientists
  • (Web) developers who want to incorporate SQL into their applications
  • Data analysts and scientists


Instructor: Maximilian Schwarzmüller

Udemy rate: 4.8/5.0 (723 ratings)

Enroll here: https://www.udemy.com/course/sql-the-complete-developers-guide-mysql-postgresql/

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