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Mastering Microsoft Power BI

Track :

Business

Lessons no : 10

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What will you learn in this course?
  • Create interactive dashboards and reports using Power BI visualization tools and features
  • Integrate and combine data from multiple sources for comprehensive business analysis
  • Apply DAX formulas to perform advanced calculations and data modeling in Power BI
  • Design scalable data models to optimize performance and data accuracy
  • Implement data security and sharing options to collaborate effectively within organizations
  • Troubleshoot and optimize Power BI solutions for real-world business intelligence challenges

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
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  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 10


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1806 Reviews

Navpreet

It's Excellent
2026-01-07

Suvarna Naik

Excellent
2026-01-05

Mohammed Ghouse

There are lots of basic things that i have learned about power BI thank you
2026-01-05

Nizam Darji

It's very excellent course
2026-01-03

Muhammad Hamza Munir

Good
2026-01-03

Victor Sango

Well explained and very simple.
2026-01-02

vasuKing

I like it
2026-01-02

Divya N

It is a good way to learn the things.
2026-01-01

Ayesha Sardar

Good
2025-12-29

patitapaban patra

Excellent I have learn much more new lesson from it. Thank you
2025-12-29

Vineet Chaudhary

Easy understanding
2025-12-26

ABHIJITH S

good
2025-12-25

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Design, create and manage robust Power BI solutions to gain meaningful business insightsKey FeaturesMaster all the dashboarding and reporting features of Microsoft Power BICombine data from multiple.Is Microsoft Power BI easy to learn? It is designed to be simple and easy to learn while exposing the power and flexibility of tabular models. In a way, you could compare it with Excel formulas on steroids. Using DAX will truly unleash the capabilities of Power BI. Power BI Developer Skills Candidates should be from a computer science background and should have ample work experience in a similar field. They should have 4+ years of experience in data warehousing projects, data preparation, and data gateways.