Analyzing Data with Microsoft Power BI

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Classroom Virtual Classroom Private Group - Virtual Self-Paced OnlineOverview
This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.
Objectives
After completing this course, students will be able to:
- Ingest, clean, and transform data
- Model data for performance and scalability
- Design and create reports for data analysis
- Apply and perform advanced report analytics
- Manage and share report assets
- Create paginated reports in Power BI
Target Audience
The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.
Training Partners
We work with the following best of breed training partners using our bulk buying power to bring you a wider range of dates, locations and prices.
Modules
Prerequisites
In addition to their professional experience, students who take this training should have technical knowledge equivalent to the information found in the Azure Fundamentals course.
Scheduled Dates
Please select from the dates below to make an enquiry or booking.
Pricing
Different pricing structures are available including special offers. These include early bird, late availability, multi-place, corporate volume and self-funding rates. Please arrange a discussion with a training advisor to discover your most cost effective option.
Code | Location | Duration | Price | Sep | Oct | Nov | Dec | Jan | Feb |
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Later scheduled dates may be available for this course. |