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Microsoft Power BI desktop for beginners

Track :

Computer Softwares

Lessons no : 4

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What will you learn in this course?
  • Create interactive reports and dashboards using Power BI visualization tools and custom visual elements
  • Connect and import data from multiple sources, including Excel, SQL, and cloud services, for comprehensive analysis
  • Apply data cleaning, transformation, and modeling techniques to prepare datasets for insightful reporting
  • Utilize DAX formulas to develop calculated columns, measures, and perform advanced data analysis

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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  • The Certificate is free !
Lessons | 4


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19 Reviews

kanchan bhanap

It was good
2025-11-16

Vaibhavi

It was good
2025-11-15

Prerna Sharma

It was very great and helpful session
2025-11-15

Alisha

It was an insightful course
2025-11-15

Samiksha Gholap

.
2025-11-15

SIDDHESH SHIRGAONKAR

Very nice session
2025-11-14

Priyesha Sakpal

Good nicely explained
2025-11-11

Kajal Behera

good
2025-11-11

Sayli Khade

Very informative lecture
2025-11-10

Kaushik Chatterjee

Informative.
2025-11-05

Nausheera Pathan

It was GOOD
2025-11-04

Mitali Pote

very informative
2025-11-01

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Related Courses

Microsoft Power BI desktop course, in this course you will explore the powerful capabilities of Microsoft Power BI Desktop, a leading business analytics tool that transforms data into actionable insights. Starting from the basics, you'll learn how to install and set up Power BI Desktop, navigate its user-friendly interface, and connect to various data sources. The course will guide you through the process of importing, cleaning, and transforming data, ensuring you can work with diverse datasets effectively. We will delve into creating interactive reports and dashboards, utilizing Power BI’s extensive visualization tools to present data in compelling ways. You’ll learn to build and customize visual elements like charts, graphs, and maps, and discover how to apply filters and slicers to enable dynamic data exploration. Advanced topics include using DAX (Data Analysis Expressions) for sophisticated data analysis, creating calculated columns and measures, and implementing advanced data modeling techniques.