PL-300T00 Microsoft Power BI Data Analyst

Length: 3 Day(s), Price: $$1,935.00 exl GST

Covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. It will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.

  • Understand the methods and best practices for modeling data in Power BI.
  • Learn techniques for visualizing data effectively in Power BI.
  • Gain proficiency in analyzing data using Power BI tools and features.
  • Learn how to access and process data from various sources, including relational and non-relational databases.
  • Understand how to manage reports and dashboards within the Power BI environment.

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.

 1. Discover data analysis

 2. Get started building with Power BI

 3. Get data in Power BI

 4. Clean, transform, and load data in Power BI

 5. Design a data model in Power BI

 6. Introduction to creating measures using DAX in Power BI

 7. Optimize a model for performance in Power BI

 8. Work with Power BI visuals

 9. Create a data-driven story with Power BI reports

 10. Create dashboards in Power BI

 11. Perform analytics in Power BI

 12. Work with AI visuals in Power BI

 13. Create and manage workspaces in Power BI

 14. Manage datasets in Power BI

 15. Implement row-level security

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12th Jun 2024 - 14th Jun 2024

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