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Microsoft Power BI Data Analyst Associate Study Guide
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Microsoft Power BI Data Analyst Associate Study Guide : Prepare for the Pl-300 Exam and Apply Best Practice Design

Book Details

Format Paperback / Softback
ISBN-10 109817528X
ISBN-13 9781098175283
Publisher O'Reilly Media
Imprint O'Reilly Media
Country of Manufacture GB
Country of Publication GB
Publication Date Mar 27th, 2026
Print length 450 Pages
Weight 834 grams
Dimensions 23.40 x 17.90 x 2.60 cms
Ksh 8,650.00
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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.
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 strategiesUse best practices to discover scalable, enterprise-grade Power BI solutionsLearn how to correctly apply Power Query, DAX, and visualizations in real-world scenarios with real business dataUncover how to build for scaleSee how Power BI fits into modern architectures like Azure and Microsoft Fabric

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