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Analyzing and Visualizing Data by Using Microsoft Power BI Exam Ref 70-778

Analyzing and Visualizing Data by Using Microsoft Power BI Exam Ref 70-778

Analyzing and Visualizing Data by Using Microsoft Power BI Exam Ref 70-778
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Analyzing and Visualizing Data by Using Microsoft Power BI Exam Ref 70-778 Paperback - 2018

by Maslyuk, Daniil

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Microsoft Press, 2018-06-12. paperback. Very Good. 7x0x9.
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Details

  • Title Analyzing and Visualizing Data by Using Microsoft Power BI Exam Ref 70-778
  • Author Maslyuk, Daniil
  • Binding Paperback
  • Condition Used - Very good
  • Pages 368
  • Volumes 1
  • Language ENG
  • Publisher Microsoft Press
  • Publication date 2018-06-12
  • Bookseller's Inventory # 1509307028-2-35135228
  • ISBN 9781509307029 / 1509307028
  • Weight 1.31 lbs (0.59 kg)
  • Dimensions 9 x 7.4 x 1.15 in (22.86 x 18.80 x 2.92 cm)
  • Size 7x0x9
  • Category Computers - Certification
  • Quantity available 1

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Reader reviews for Analyzing and Visualizing Data by Using Microsoft Power BI Exam Ref 70-778

From the publisher

Prepare for Microsoft Exam 70-778-and help demonstrate your real-world mastery of Power BI data analysis and visualization. Designed for experienced BI professionals and data analysts ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level.

Focus on the expertise measured by these objectives:

  • Consume and transform data by using Power BI Desktop
  • Model and visualize data
  • Configure dashboards, reports, and apps in the Power BI Service

This Microsoft Exam Ref:

  • Organizes its coverage by exam objectives
  • Features strategic, what-if scenarios to challenge you
  • Assumes you have experience consuming and transforming data, modeling and visualizing data, and configuring dashboards using Excel and Power BI

About the author

Daniil Maslyuk (MCSA: BI Reporting; MCSE: Data Management and Analytics) is a Microsoft business intelligence consultant who specializes in Power BI, Power Query, and Power Pivot; the DAX and M languages; and SQL Server and Azure Analysis Services tabular models. Daniil blogs at xxlbi.com and tweets as @DMaslyuk.

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