Attention! This course has replaced the course
DA-100T00
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.
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.
Audience Profile
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.
Before attending this course, students must have:
- 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. Get started with Microsoft data analytics
- Discover data analysis
- Get started building with Power BI
- Introduction to end-to-end analytics using Microsoft Fabric
- Get started with Copilot in Power BI
2. Prepare data for analysis with Power BI
- Get data in Power BI
- Clean, transform, and load data in Power BI
- Choose a Power BI model framework
3. Model data with Power BI
- Configure a semantic model
- Write DAX formulas for semantic models
- Create DAX calculations in semantic models
- Use DAX time intelligence functions in semantic models
- Create visual calculations in Power BI Desktop
- Optimize a model for performance in Power BI
4. Design effective reports in Power BI
5. Manage and secure Power BI
- Manage workspaces in Power BI service
- Manage semantic models in Power BI
- Choose a content distribution method
- Create dashboards in Power BI
- Secure data access in Power BI