Modern SQL Mastery: Beginner to Expert with PostgreSQL
Год выпуска: 1/2026
Производитель: Udemy
Сайт производителя: Для просмотра ссылки Войдиили Зарегистрируйся
Автор: EduVerse Academy
Продолжительность: 3h 36m 3s
Тип раздаваемого материала: Видеоурок
Язык: Английский
Формат видео: MP4
Видео: avc, 1920x1080, 16:9, 30.000 к/с, 2600 кб/с
Аудио: aac lc, 44.1 кгц, 192 кб/с, 2 аудио
Описание:
What you'll learn
Understand database fundamentals including tables, schemas, rows, and columns
Learn all SQL command types such as DDL, DML, DCL, and TCL
Perform data analysis using aggregate functions and GROUP BY with HAVING
Write efficient queries using SELECT, WHERE, ORDER BY, LIMIT, and FETCH
Master all types of SQL joins including INNER, LEFT, RIGHT, FULL, and CROSS
Use subqueries, Common Table Expressions (CTEs), and window functions
Create views, materialized views, stored procedures, and functions
Build an end-to-end SQL project using real retail and e-commerce datasets
Requirements
No prior SQL or database knowledge is required
A basic understanding of computers and files is enough
Willingness to install PostgreSQL and DBeaver (guided step-by-step)
No programming background is required
Beginner-friendly explanations with practical examples
Description
This course is a complete and practical guide to mastering Modern SQL using PostgreSQL, designed to take you from absolute beginner to advanced level with confidence.
Unlike traditional SQL tutorials that focus only on syntax, this course emphasizes hands-on learning. You will build real databases, write real queries, and understand how SQL is used in real-world data analytics and engineering scenarios.
By the end of this course, you will be able to confidently work with SQL in professional environments and solve real business problems using data.
What You Will Learn
Understand databases, schemas, tables, rows, and columns
Learn SQL command categories including DDL, DML, DCL, and TCL
Write powerful queries using SELECT, WHERE, ORDER BY, LIMIT, and FETCH
Perform data analysis using aggregate functions like COUNT, SUM, AVG, MIN, and MAX
Work with GROUP BY and HAVING for analytical queries
Master all types of JOINs including INNER, LEFT, RIGHT, FULL, and CROSS
Write efficient subqueries and Common Table Expressions (CTEs)
Use window functions for advanced analytics
Create and manage views and materialized views
Understand stored procedures, functions, and exception handling
Build an end-to-end SQL project using retail and e-commerce datasets
Why This Course Is Different:
Uses PostgreSQL, one of the most powerful and widely used open-source databases
Focuses on real-world SQL usage, not just theory
Includes a complete SQL project to simulate real industry scenarios
Ideal for learners who want practical, job-ready SQL skills
Who this course is for:
Beginners who want to learn SQL from scratch
Students preparing for data analyst or data engineer roles
Professionals who want to improve their SQL skills for work
Data analysts looking to strengthen real-world query writing
Data engineers working with PostgreSQL databases
Developers who want better database and SQL understanding
Anyone preparing for SQL interviews or technical assessments
Learners who prefer hands-on, project-based SQL learning
Торрент 4.18 GB
Год выпуска: 1/2026
Производитель: Udemy
Сайт производителя: Для просмотра ссылки Войди
Автор: EduVerse Academy
Продолжительность: 3h 36m 3s
Тип раздаваемого материала: Видеоурок
Язык: Английский
Формат видео: MP4
Видео: avc, 1920x1080, 16:9, 30.000 к/с, 2600 кб/с
Аудио: aac lc, 44.1 кгц, 192 кб/с, 2 аудио
Описание:
What you'll learn
Understand database fundamentals including tables, schemas, rows, and columns
Learn all SQL command types such as DDL, DML, DCL, and TCL
Perform data analysis using aggregate functions and GROUP BY with HAVING
Write efficient queries using SELECT, WHERE, ORDER BY, LIMIT, and FETCH
Master all types of SQL joins including INNER, LEFT, RIGHT, FULL, and CROSS
Use subqueries, Common Table Expressions (CTEs), and window functions
Create views, materialized views, stored procedures, and functions
Build an end-to-end SQL project using real retail and e-commerce datasets
Requirements
No prior SQL or database knowledge is required
A basic understanding of computers and files is enough
Willingness to install PostgreSQL and DBeaver (guided step-by-step)
No programming background is required
Beginner-friendly explanations with practical examples
Description
This course is a complete and practical guide to mastering Modern SQL using PostgreSQL, designed to take you from absolute beginner to advanced level with confidence.
Unlike traditional SQL tutorials that focus only on syntax, this course emphasizes hands-on learning. You will build real databases, write real queries, and understand how SQL is used in real-world data analytics and engineering scenarios.
By the end of this course, you will be able to confidently work with SQL in professional environments and solve real business problems using data.
What You Will Learn
Understand databases, schemas, tables, rows, and columns
Learn SQL command categories including DDL, DML, DCL, and TCL
Write powerful queries using SELECT, WHERE, ORDER BY, LIMIT, and FETCH
Perform data analysis using aggregate functions like COUNT, SUM, AVG, MIN, and MAX
Work with GROUP BY and HAVING for analytical queries
Master all types of JOINs including INNER, LEFT, RIGHT, FULL, and CROSS
Write efficient subqueries and Common Table Expressions (CTEs)
Use window functions for advanced analytics
Create and manage views and materialized views
Understand stored procedures, functions, and exception handling
Build an end-to-end SQL project using retail and e-commerce datasets
Why This Course Is Different:
Uses PostgreSQL, one of the most powerful and widely used open-source databases
Focuses on real-world SQL usage, not just theory
Includes a complete SQL project to simulate real industry scenarios
Ideal for learners who want practical, job-ready SQL skills
Who this course is for:
Beginners who want to learn SQL from scratch
Students preparing for data analyst or data engineer roles
Professionals who want to improve their SQL skills for work
Data analysts looking to strengthen real-world query writing
Data engineers working with PostgreSQL databases
Developers who want better database and SQL understanding
Anyone preparing for SQL interviews or technical assessments
Learners who prefer hands-on, project-based SQL learning
Торрент 4.18 GB
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