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    SQL For Product Managers

    Posted By: lucky_aut
    SQL For Product Managers

    SQL For Product Managers
    Published 12/2022
    Duration: 01:03:48 | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 349 MB
    Genre: eLearning | Language: English

    Learn the SQL skills you need as a product manager.
    What you'll learn
    Learn what SQL is used for and how it works
    Write SQL queries to get answers to top questions
    Understand how a relational database works
    Become self-reliant when it comes to data needs
    Requirements
    No technical background or previous programming experience is required
    No additional software is required
    Description
    SQL is the primary way that data is retrieved from a database. It also happens to be a great way to develop data-driven thinking by learning to visualize how data sits in a table.

    By learning SQL you will become far more independent as a product manager and truly understand how to think of data the right way.

    The best part? Product managers only need a fraction of the SQL skills needed by a data analyst or analytics engineer. This course focuses only on the parts that a product analytics role needs, so you can learn SQL fast.

    This course takes an exercise-driven approach to learning. Every new thing that you learn is demonstrated in an exercise, showing you exactly it gets used in real life. Topics are broken into small pieces and slowly become more complex. Before you know it, you’re a SQL expert writing advanced queries in little to no time.

    Upon completion of this course, you will be able to:

    Know when, where, and why SQL is used
    Understand the main components of a SQL query
    Write SQL queries that will answer the questions you have as a product manager
    Have a better understanding of data analytics as a whole

    Learning SQL is one of the best ways to improve your skills as a product manager and become both more technical and more data-driven.


    Who this course is for:
    Product Managers looking to become more technical and data driven

    More Info