02546cam a2200325 i 4500 22550364 20260209112245.0 220517s2022 njua b 001 0 eng 2022938757 9780137901234 (paperback) 22550364 DLC eng rda DLC DLC AU pcc Alfaisal Main Library QA76.9.I52 M374 2023 Maslyuk, Daniil, author. Exam Ref PL-300 Microsoft power BI data analyst / Daniil Maslyuk. Microsoft power BI data analyst Exam Ref PL-300 Hoboken, NJ : published with the authorization of Microsoft Corporation by Pearson Education, Inc., ©2023 208 pages illustrations ; 24 cm text txt rdacontent unmediated n rdamedia volume nc rdacarrier Includes bibliographical references and index. Prepare for Microsoft Exam PL-300 and help demonstrate your real-world ability to deliver actionable insights with Power BI by leveraging available data and domain expertise; to provide meaningful business value through clear data visualizations; to enable others to perform self-service analytics, and to deploy and configure solutions for consumption. Designed for data analysts, business users, and other professionals, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Power BI Data Analyst Associate level. Exam PL-300 focuses on knowledge needed to get data from different data sources; clean, transform, and load data; design and develop data models; create model calculations with DAX; optimize model performance; create reports and dashboards; enhance reports for usability and storytelling; identify patterns and trends; and manage files, datasets, and workspaces. Passing this exam fulfills your requirements for the Microsoft Certified: Power BI Data Analyst Associate certification, demonstrating your understanding of data repositories and data processes, and your skills in designing and building scalable data models, cleaning and transforming data, enabling advanced analytic capabilities to provide meaningful business value, and collaborating with key stakeholders to deliver relevant insights based on identified business requirements Microsoft Power BI (Computer file) Information visualization. Print books. local 4 lcc BOOKS 608385 608385 0 0 lcc 0 0 AU AU GEN 2026-02-09 0 QA76.9.I52 M374 2023 AU00000000021295 2026-02-09 11:24:19 285.00 2026-02-09 BOOKS