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🛫 Welcome to our SQL tutorial where we dive deep into the world of data analysis, focusing on airline delays and their common causes. In this video, I walk you through a comprehensive SQL query that helps identify which airlines experience the most frequent delays and categorizes the reasons behind these delays.

🔍 What You'll Learn:

How to write a complex SQL query to analyze flight delay data.
Techniques to categorize delay reasons and count delayed flights.
Insights into data aggregation and window functions in SQL.
📊 About the Dataset:
We use a detailed dataset of flight delays, including airline names, flight numbers, scheduled and actual departure times, and reasons for delays. This real-world scenario helps us understand how to handle and analyze time-sensitive data in SQL.

👩‍💻 In This Video:

-Writing the Query: I guide you through each step of the SQL query, explaining the logic and functions used.
-Analyzing the Results: We'll interpret the output to understand which airlines have the most delays and the predominant reasons for these delays.
📝 SQL Concepts Covered:

-Table creation and data insertion
-Aggregate functions
-Window functions
-Conditional counting
-Subqueries and Common Table Expressions (CTEs)
🚀 Whether you're a beginner eager to learn SQL or a seasoned --------professional looking to sharpen your data analysis skills, this tutorial offers valuable insights and practical knowledge.

💡 Stay tuned till the end for tips on optimizing your queries and best practices in SQL data analysis.

👉 Don't forget to Like, Share, and Subscribe for more tutorials on SQL and data analytics. Drop your questions and suggestions in the comments below!

🔗 Related Videos:

-SQL Basics for Beginners
-Advanced SQL Techniques in Data Analysis
-Real-World Data Analytics Projects
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