Microsoft Power BI Data Analyst (PL-300) course is designed to equip individuals with the knowledge and skills to become proficient in leveraging Power BI for data analysis and visualization. This course provides a comprehensive understanding of Power BI, including its features, functionalities, and capabilities for transforming raw data into meaningful insights.
Microsoft Power BI Data Analyst (PL-300) course is designed to equip individuals with the knowledge and skills to become proficient in leveraging Power BI for data analysis and visualization. This course provides a comprehensive understanding of Power BI, including its features, functionalities, and capabilities for transforming raw data into meaningful insights.
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.
Ingest, clean, and transform data
Model data for performance and scalability
Design and create reports for data analysis
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.
Successful Data Analysts start this role with experience of 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.
You can gain the prerequisites and a better understanding of working with data in Azure by completing Microsoft Azure Data Fundamentals before taking this course.
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