Course · Intermediate
Window Functions in SQL
In this course, explore the world of SQL Window Functions and enhance your data analysis toolkit. Dive into aggregate, ranking, distribution, and offset window functions to simplify complex queries and extract valuable insights. Empower your data-driven decision-making with advanced SQL techniques!
- Intermediate friendly
- 6 hrs
- 6 lessons
- 1 project
- Premium
Course overview
Analyze data more effectively by using SQL window functions to compute running metrics, rankings, distributions, and offsets within queries.
What's inside
6 lessons · 1 project
- 01 35 minAn Introduction to Window Functions
<p>In the first lesson, we'll learn what window functions are, how they work, and the syntax of the OVER clause and its elements.</p> <p>After we finish this lesson, we'll be able to:</p>
- 02 40 minWindow Function Framing
<p>In this lesson, we'll learn what a window frame is and how to define window frame bounds in SQL.</p>
- 03 55 minWindow Aggregate Functions
<p><span style="color: rgb(0,0,0);font-size: medium;">In this lesson, we'll learn what window aggregate functions are and how to use them to solve common queries in SQL. </span></p>
- 04 48 minRanking Window Functions
<p>This lesson provides an introduction to the `ROW_NUMBER()`, `RANK()`, `DENSE_RANK()`, and `NTILE()` functions to generate ranking within a window. It also provides a practical, hands-on approach to using the ranking window function to solve complex analytical problems.</p>
- 05 74 minOffset Window Functions
<p>Learn how to use offset window functions like LEAD(), LAG(), NTH_VALUE(), and more to analyze data and solve real-world analytics problems. Perfect for SQL learners.</p>
- 06 18 minGuided Project: SQL Window Functions for Northwind Traders Project
For this project, you'll assume the role of a data analyst at Northwind Traders, using advanced SQL techniques to provide insights that drive strategic business decisions.
- 07 58 minDistribution Window Functions
<p>This lesson covers two types of distribution window functions: rank distribution functions and inverse distribution functions. You'll have a good understanding of how to use them for statistical analysis, how to calculate the value at a specified percentile, and how to solve real-world problems with distribution window functions.</p>
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