4 Hour Live Virtual Training on Master Data Analysis and Visualization in Power BI
Master the fundamentals of Power BI and learn modern Data Analysis and Visualisation that how to transform, visualise data and gather data more frequently and quickly.
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Training TypeLive Training
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CategoryData & Analytics
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Duration4 Hours
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Rating4.9/5
Data Analysis and Visualization in Power BI Curriculum
About Data Analysis and Visualization in Power BI
Power BI is one of the most in-demand skills in the North American and European Markets. With this virtual class, discover how to quickly gain insights from your data using the powerful tool, Power BI. Power BI can help you effectively create and share impactful visualizations with others in your organization. In this course, we help you get started with this powerful toolset.
The instructor will begin by covering Power BI Desktop version explaining how to import data, create visualizations, and arrange those visualizations into reports. He will then explain how to pin visualizations to dashboards for sharing, as well as, how to ask questions about your data with Power BI Q&A.
Data Analysis and Visualization in Power BI Objective
- Distinguish between different data types in Power BI.
- Correlate the similarities between visualizations in Power BI.
- Identify the outcomes when changes are made within Power BI and Power BI Desktop.
- Differentiate between dashboards and reports within Power BI.
Who is the Power BI Desktop Course Target Audience?
- Data Analysts
- Finance Professionals
- Business Executives
What Basic Knowledge Required to Learn Power BI Desktop Course?
Basic Understanding of Business Objectives
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Available Batches
There are no upcoming batches. You can Enroll for a recorded sessions.
Pricing
Live
Single Attendee
149
249
Live Session
Recorded
Single Attendee
199
332
6 month Access for Rec
Live+Recorded
Single Attendee
249
416
6 month Access for Rec
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Data Analysis and Visualization with Microsoft Power BI Curriculum
Total Duration : 4 Hours
Learn Principals of Data Analysis & Visualizations
Import and Connect to Data Sources
Cleaning and Transforming Data for Analysis
Creating Visualizations
Generating Dashboards and having Interactivity
Publishing the reports and working with workspaces