This Power BI training course will discuss the various methods and best practices 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 various data sources, including relational and non-relational data. This course will also explore implementing proper security standards and policies across the Power BI spectrum, including datasets and groups. The course will also discuss managing and deploying 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.
Power BI Training Delivery Methods
In-Person
Online
Power BI Training Course Benefits
Learn how to ingest, clean, transform, and model data
Model data for performance and scalability
Design and create paginated reports to analyze data with Power BI
Apply and perform advanced report analytics
Manage and share report assets
Create paginated reports in Power BI
Follow a curriculum based on Microsoft Official Courseware
Continue learning and face new challenges with after-course one-on-one instructor coaching
Power BI Training Course Outline
Important Power BI Training Course Information
Software/Tools
This course utilizes SQL Server/PowerBI.
Prerequisites
You can gain the prerequisites and a better understanding of working with data in Azure by completing 4thdacad Course 8566, Microsoft Azure Fundamentals Training (AZ-900T00)
Additionally, you should have experience with Power Platform at the level of 4thdacad Course 8571, Microsoft Azure Fundamentals Training (AZ-900T00)
Who Should Attend This Course
The audience for this course is 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 both in the cloud and on-premises.
Successful Data Analysts start this role with experience in working with data in the cloud. Specifically:
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
Exam information
This course helps you prepare for Exam PL-300: Microsoft Power BI Data Analyst.
Module 1: Get Started with Microsoft Data Analytics
Module 2: Prepare Data in Power BI
Module 3: Clean, Transform, and Load Data in Power BI
Module 4: Design a Data Model in Power BI
Module 5: Create Measures using DAX in Power BI
Module 6: Optimize Model Performance
Module 7: Create Reports
Module 8: Create Dashboards
Module 9: Create Paginated Reports in Power BI
Module 10: Perform Advanced Analytics
Module 11: Manage Datasets in Power BI
Module 12: Create and Manage Workspaces in Power BI
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