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Microsoft Power BI Data Analyst Associate Study Guide (Prepare for the PL-300 Exam and Use Power BI Successfully)

List Price: $59.99
SKU:
9781098175283
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  • Product Details

    Author:
    Paul Turley
    Format:
    Paperback
    Pages:
    475
    Publisher:
    O'Reilly Media (April 21, 2026)
    Imprint:
    O'Reilly Media
    Release Date:
    April 21, 2026
    Language:
    English
    ISBN-13:
    9781098175283
    ISBN-10:
    109817528X
    Weight:
    26.56oz
    Dimensions:
    7" x 9.19"
    File:
    TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20260402163258-20260402.xml
    Folder:
    TWO RIVERS
    List Price:
    $59.99
    Country of Origin:
    United States
    Pub Discount:
    60
    Case Pack:
    8
    As low as:
    $51.59
    Publisher Identifier:
    P-PER
    Discount Code:
    C
  • Overview

    Passing the PL-300 exam with 2025 revisions isn't just about memorization—you need to thoroughly know the basic features of Power BI. However, data professionals must also apply best practices that make Power BI solutions scalable and future-proof. The first half of this go-to companion by Paul Turley provides complete coverage of the PL-300 exam objectives for desktop and self-service users, while the second half equips you with necessary best practices and practical skills for real-world success after the exam.

    Immerse yourself in exam prep, practice questions, and hands-on references for applying time-tested design patterns in Power BI. You'll learn how to transform raw data into actionable insights using Power Query, DAX, and dimensional modeling. Perfect for data analysts and business intelligence developers, this guide shows how Power BI fits into modern data platforms like Azure and Microsoft Fabric, preparing you for the exam and for the evolving world of data engineering.

    • Understand PL-300 exam topics and key prep strategies
    • Use best practices to discover scalable, enterprise-grade Power BI solutions
    • Learn how to correctly apply Power Query, DAX, and visualizations in real-world scenarios with real business data
    • Uncover how to build for scale
    • See how Power BI fits into modern architectures like Azure and Microsoft Fabric