In this 3-day instructor-led course participants 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 students 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 participants how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI. Note: In addition to professional experience, students who take this training should have technical knowledge equivalent to the information found in the DP-900 Microsoft Azure Data Fundamentals course. Specifically, Data Analysts should start this role having experience working with data in the cloud.
- Understanding core data concepts
- Knowledge of working with relational data in the cloud
- Knowledge of working with non-relational data in the cloud
- Knowledge of data analysis and visualization concepts
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.
What You'll Learn
- Ingest, clean and transform data
- Model data for performance and scalability
- Design and create reports for data analysis
*Request Detailed Syllabus
Related Links: Microsoft Certified: Power BI Data Analyst Associate
- Course Number PL-300
- Course Length 3 days
- Course Fee $1,795.00
- Delivery Format vILT (Instructor Led; Virtual LIVE Online; Remote Training)
- Course Topic Business Intelligence
- Vendor Microsoft
- Technology Azure
Need a different date? This course is also offered on these dates
Date | Course ID | Course Name | Duration | Delivery Format | Registration | |
---|---|---|---|---|---|---|
12/09/2024 | PL-300 | Microsoft Power BI Data Analyst (PL-300) | 3 days | vILT | Register | |
12/18/2024 | PL-300 | Microsoft Power BI Data Analyst (PL-300) | 3 days | vILT | Register | |
12/18/2024 | PL-300 | Microsoft Power BI Data Analyst (PL-300) | 3 days | vILT | Register | |
01/20/2025 | PL-300 | Microsoft Power BI Data Analyst (PL-300) | 3 days | vILT | Register | |
02/10/2025 | PL-300 | Microsoft Power BI Data Analyst (PL-300) | 3 days | vILT | Register | |
02/19/2025 | PL-300 | Microsoft Power BI Data Analyst (PL-300) | 3 days | vILT | Register | |
02/24/2025 | PL-300 | Microsoft Power BI Data Analyst (PL-300) | 3 days | vILT | Register | |
03/03/2025 | PL-300 | Microsoft Power BI Data Analyst (PL-300) | 3 days | vILT | Register | |
03/12/2025 | PL-300 | Microsoft Power BI Data Analyst (PL-300) | 3 days | vILT | Register | |
03/24/2025 | PL-300 | Microsoft Power BI Data Analyst (PL-300) | 3 days | vILT | Register |
About the instructorPeter Avila
Microsoft Certified TrainerPeter is a consultant specializing in the design and development of database systems using SQL Server and .Net technologies. Peter has operated a nation-wide consulting business since 1991. He was a course designer and instructor of database and software development technologies at Harvard University; UC Berkeley, and the Worcester Polytechnic Institute, and he is author of “An Intuitive Approach to Database Design; An Introduction to Data Modeling.”
Peter uses an intuitive approach to learning that applies the way we all learn in the real world and gives students experiences on which to draw when they’re back on the job applying their new skills. “Learning is the most fun, satisfying, and enduring when we have our own empirical experiences – our own AHA! moment when we experience a discovery. The classroom offers a great opportunity to create those moments in a fun and focused environment. It’s great when students tell me that the experience they had in the classroom is what allowed them to finally understand a topic and solve a tough problem at work.”
Training Location
Microsoft Power BI Data Analyst (PL-300)
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Register for course: PL-300
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