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    PostgreSQL WINDOW FUNCTIONS For Data Analysis

    Posted By: lucky_aut
    PostgreSQL WINDOW FUNCTIONS For Data Analysis

    PostgreSQL WINDOW FUNCTIONS For Data Analysis
    Duration: 35m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 223 MB
    Genre: eLearning | Language: English

    WINDOW FUNCTIONS ,RANK , DENSE_RANK, ROW_NUMBER

    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

    Requirements:
    To complete this course you need some knowledge of sql Queries.

    Description:
    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

    More Info