SQL for Beginners: Master the Essentials

SQL for Beginners is a comprehensive course that equips you with the necessary skills to write SQL code based on ANSI/ISO standards. As the standard language for interacting with relational databases, SQL (Structured Query Language) is used by a diverse range of software applications and technologies. Throughout this course, you will learn how to construct database structures, update content, and retrieve data using various join techniques.

In this course, you will learn how to be proficient in using predicates, operators, and case expressions, along with using string functions to manipulate and extract information from text data. Additionally, you will develop competence in converting different data types in PostgreSQL and utilizing advanced features like subqueries, set operators, and window functions.

The course covers essential topics such as SQL introduction, select statements, string functions, working with date and time, joins, subqueries, set operators, and window functions. You will also explore data modification, user-defined functions (UDFs), stored procedures (SPs), and control structures and engage in practical exercises to reinforce your learning.

Upon completion, you will possess the knowledge and practical skills necessary to construct efficient database structures, execute powerful queries, modify data, and employ advanced SQL techniques for data analysis and management. Whether you aspire to become a database administrator, data analyst, or software developer, this course will provide you with a solid foundation in SQL, equipping you with essential skills to excel in your chosen field.

By the end of this course, you will be able to:

• Construct SQL queries to retrieve specific data from a relational database.
• Design and build efficient database structures using SQL.
• Update and modify database content through SQL statements.
• Apply various types of joins to combine data from multiple database tables.
• Utilize predicates, operators, and case expressions to filter and manipulate data.
• Employ string functions to manipulate and extract information from text data.
• Convert different data types in PostgreSQL to meet specific requirements.
• Apply advanced SQL features such as subqueries, set operators, and window functions to solve complex data problems.