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Power BI masterclass : beginners to advanced / [produced by Packt Publishing].

Academic Video Online: Premium - United States Available online

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Format:
Video
Contributor:
Packt Publishing, production company.
Series:
Academic Video Online
Language:
English
Subjects (All):
Business intelligence--Computer programs.
Business intelligence.
Information visualization--Computer programs.
Information visualization.
Business--Data processing--Computer programs.
Business.
Visual analytics--Computer programs.
Visual analytics.
Genre:
Instructional films.
Physical Description:
1 online resource (379 minutes)
Place of Publication:
Birmingham, England : PACKT Publishing, 2018.
Language Note:
In English.
System Details:
video file
Summary:
Power BI - master self-service business intelligence in no time. About This Video: The ETL capabilities of Microsoft Power BI ("get messy data easily into the right format"). Master simple and very advanced DAX (Power BI language, similar to like excel formulas) calculations. Create outstanding visualizations and reports. Derive valuable highly profitable insights. In Detail: Companies are constantly searching for ways to make better and faster decisions. Therefore they rely heavily on data. Data-driven decision making is the key to success for any business in the world of tomorrow. Because of that companies are constantly searching for skilled employees and freelancers with the necessary capabilities to help with analyzing data and creating valuable highly profitable insights. This will be the key advantage to succeed in business. MS Power BI is an advanced yet easy to get started self-service business analytics/business intelligence solution provided by Microsoft and it's currently in very hot demand. Daniel can confirm that companies will actively be searching for you if you master Power BI. And you can be part of this future! There is no coding required! Power BI allows you to do that but it's not necessary.
Participant:
Presenter, Daniel We.
Notes:
Title from resource description page (viewed May 10, 2019).
OCLC:
1045429052

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