PostgreSQL WINDOW FUNCTIONS For Data Analysis
Learn how to use PostgreSQL window functions for analytics in this project-based seminar. Gain an understanding of RANK, ROW_NUMBER, and DENSE_RANK, and apply them to extract desired results from a database. Suitable for intermediate data analysts, this course offers straightforward examples and step-by-step guidance for easy comprehension and participation. Invest in your professional growth and become proficient in window functions.
What you’ll learn
- DENSE_RANK which Ranks the current row within its partition without gaps.
- They will also learn about ROW_NUMBER
- They will also learn about RANK
- We will have examples on the RANK,ROW_NUMBER & DENSE_RANK
We hope you enjoy your time here in this project-based seminar on PostgreSQL Window Functions for Analytics. This is a project that will teach users of POSTGRES how to use window functions to get information from a database, and it is designed to be done by hand.
You will walk away from this lesson having gained an understanding of how to apply a variety of window functions in order to extract the result you want from a database. You will learn how to modify data with PostgreSQL window methods like as ROW NUMBER(), RANK(), and DENSE RANK() through the course of working on this project (). In addition to that, we will discuss the application of aggregate window functions. In order to query this database, we will make use of these window functions in conjunction with the OVER() clause.
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Getting Started
Database Set up
Ranking
ROW_NUMBER
DENSE_RANK
Students of all skill levels will find it simple and uncomplicated to understand and participate in the instruction. Invest in yourself and grow professionally by being familiar with Window Functions the use of straightforward examples that are presented in detail.
Who this course is for:
- Intermediate Data Analysts
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