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Advance Power BI DAX.

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

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Format:
Video
Contributor:
Lalwani, Pavan, instructor.
Packt Publishing, publisher.
Language:
English
Subjects (All):
Microsoft Excel (Computer file).
DAX (Computer programming language).
Business intelligence--Computer programs.
Business intelligence.
Physical Description:
1 online resource (1 video file (8 hr., 59 min.)) : sound, color.
Edition:
[First edition].
Place of Publication:
[Birmingham, United Kingdom] : Packt Publishing, 2026.
Summary:
This 9-hour course covers advanced DAX techniques and data modeling concepts, focusing on building efficient models, writing optimized calculations, and delivering impactful business intelligence solutions. You will master advanced DAX functions, time intelligence, filtering, and aggregation to enhance your reporting and analytical capabilities. What I will be able to do after this course Build efficient data models using star schema principles Create advanced DAX measures for dynamic reporting Apply time intelligence functions for trend analysis Optimize calculations using filter and row context Analyze business data using advanced aggregation techniques Course Instructor(s) Pavan Lalwani is a skilled trainer with 10 years of experience in Power BI, Tableau, and Microsoft Excel. He has worked with major clients like Mercedes-Benz, IBM, and Wipro, providing comprehensive end-to-end business intelligence solutions through his training videos and personalized support. Who is it for? This course is ideal for data analysts, Power BI developers, and business intelligence professionals looking to advance their DAX skills. A basic understanding of Power BI, data modeling, and Excel is recommended.
Notes:
OCLC-licensed vendor bibliographic record.
ISBN:
1-80808-411-X
OCLC:
1592061986

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