This course teaches learners how to design and implement analytics solutions using Power BI. Participants will gain practical experience in building data models, creating interactive reports and dashboards, applying DAX calculations, and managing deployment and security for Power BI solutions in cloud environments.
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 semantic model in Power BI
6 - Add measures to Power BI Desktop models
7 - Add calculated tables and columns to Power BI Desktop models
8 - Use DAX time intelligence functions in Power BI Desktop models
9 - Optimize a model for performance in Power BI
10 - Design Power BI reports
11 - Configure Power BI report filters
12 - Enhance Power BI report designs for the user experience
13 - Perform analytics in Power BI
14 - Create and manage workspaces in Power BI
15 - Manage semantic models in Power BI
16 - Create dashboards in Power BI
17 - Implement row-level security
By the end of this course, learners will be able to connect to and transform data from multiple sources, design and optimize data models, create calculated columns, measures, and tables using DAX, build interactive and visually compelling reports and dashboards, implement row-level security, manage Power BI workspace access, and deploy and monitor analytics solutions. These skills enable learners to deliver enterprise-ready business intelligence solutions that provide actionable insights for informed decision-making.
Data analysts, business intelligence professionals, report developers, Power BI users, and IT professionals responsible for designing and managing analytics solutions
Instructor-led training, course materials
Basic understanding of data concepts, familiarity with Excel, and experience with business processes and reporting
Microsoft Docs: Power BI Documentation
This course prepares learners for the Microsoft PL-300: Power BI Data Analyst Associate Certification Exam. The exam assesses skills in connecting, transforming, and modeling data; creating visualizations and reports; configuring dashboards; and implementing security and deployment best practices. It includes scenario-based and multiple-choice questions to evaluate applied Power BI skills.
Prerequisites