Master SQL - Simple to advanced 200+ queries
Learn about Subqueries, CTEs, , Window Functions on real-world practical datasets...

What you will learn
Solve 200+ SQL hands-on practical query exercises
Work with real-world, practical datasets and problems
Step-by-step walkthrough to perform simple to complex SQL queries
Learn simple to complex queries
Subqueries
Common Table Expressions (CTEs)
Advanced Window Functions
Why take this course?
π Course Title: Master SQL - Simple to Advanced Queries
π Instructor: Adnan Waheed
π₯ Course Headline: Learn about Subqueries, CTEs, Window Functions on real-world practical datasets...
Embark on a Journey Through PostgreSQL Mastery π
Are you ready to embark on an exciting journey through the dynamic world of PostgreSQL? Our comprehensive course has been meticulously designed to transform you from a novice into a PostgreSQL wizard, armed with the skills to conquer real-world data challenges!
By the end of this course, you will run 200+ SQL queries to:
πΉ Apply Powerful SQL Commands: Store, update, and retrieve information using PostgreSQL's powerful SQL commands. You'll become adept at manipulating data with precision and efficiency.
πΉ Master Complex Joins: Navigate the intricate web of data by seamlessly joining multiple tables with various techniques. You'll understand how to link disparate pieces of data and create comprehensive datasets from fragmented sources.
πΉ Harness the Magic of Subqueries: Move from the basics to advanced subqueries with ease, enabling you to extract precise information from complex datasets. This skill will allow you to break down problems into more manageable components for analysis.
πΉ Unlock the Secrets of Aggregate Functions: Learn how to aggregate data using functions that turn raw data into meaningful insights. You'll be able to summarize data, identify trends, and make informed decisions based on your findings.
πΉ Time Travel with Date/Time: Handle date and time data types, intervals, and timezones like a pro. Mastering temporal data will open up new possibilities for analyzing time-related patterns and events.
πΉ Data Grouping: Organize your data with GROUP BY
and apply conditional filters using HAVING
, allowing for more structured analysis. You'll learn to present data in a way that highlights key trends and outliers.
πΉ Combining Queries: Combine query results using UNION
, INTERSECT
, and EXCEPT
, creating a powerful toolbox for data manipulation. This will help you create a comprehensive view of your data by merging different sources or views.
πΉ Windows Functions: Delve into the world of window functions, from the basics to advanced techniques for complex data analysis. You'll learn how to perform calculations across sets of rows and provide context to your query results.
πΉ Real-world Practice: Work on practical datasets, including an Employee Management System, International Debt Data Analysis, Stock Market Analysis, World Trades databases, and more. These hands-on projects will prepare you for real-world scenarios and challenges.
Ready to Take the Leap? Join Us Today! π
Don't miss this opportunity to master PostgreSQL, one of the most popular and powerful relational database systems in the world. Sign up now, and you'll be well on your way to becoming a PostgreSQL pro! Your next big project is waiting β seize it with PostgreSQL expertise!
Your journey begins with a single click. π±οΈ Enroll now and revolutionize your data handling skills with PostgreSQL! Let's unlock the full potential of your database career together.
What Are You Waiting For? π€
π Elevate your SQL skills to advanced levels, master complex queries, and become a PostgreSQL expert with our hands-on course.
π Learn through real-world datasets that will challenge you to think like a data analyst.
π€ Join a community of learners who are all on their way to becoming PostgreSQL wizards.
π The time to act is now! Your future self will thank you for the investment in your career.
Enroll in "Master SQL - Simple to Advanced Queries" with Adnan Waheed today and transform the way you interact with data tomorrow! π