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Exam ref PL-300 : Microsoft Power BI Data Analyst / Daniil Maslyuk.

O'Reilly Online Learning: Academic/Public Library Edition Available online

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Format:
Book
Author/Creator:
Maslyuk, Daniil, author.
Language:
English
Subjects (All):
Microsoft software--Examinations--Study guides.
Microsoft software.
Business--Data processing--Examinations--Study guides.
Business.
Microsoft Power BI (Computer file)--Examinations--Study guides.
Microsoft Power BI (Computer file).
Physical Description:
1 online resource (224 pages) : illustrations
Edition:
[First edition].
Place of Publication:
[Place of publication not identified] : Pearson Education, Inc., [2023]
Summary:
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.
Notes:
OCLC-licensed vendor bibliographic record.
Includes index.
ISBN:
9780137901197
0137901194
OCLC:
1336605082

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