A Microsoft Viva module that provides employees with formal and informal learning.
For learning Power BI and data analysis, the following Microsoft Learn learning paths and modules are suitable. They can be browsed and started directly from Microsoft Learn using the provided titles.
- For complete beginners or those new to Power BI
- Learning path: Prepare and visualize data with Microsoft Power BI
Focus: Connect to data, transform and shape it, and build interactive reports.
Key modules in this path:- Get started building with Power BI
- Get data in Power BI
- Clean, transform, and load data in Power BI
- Configure a semantic model
- Design Power BI reports
- Get started with Copilot in Power BI
- For learning data preparation (ETL) in more depth
- Learning path: Prepare data for analysis with Power BI
Focus: Using Power Query to extract, clean, and load data from different sources, and choosing storage/connectivity modes.
Key modules:- Get data in Power BI
- Clean, transform, and load data in Power BI
- Choose a Power BI model framework
- For data modeling skills (core for data analysts)
- Learning path: Model data with Power BI
Focus: Designing semantic models, relationships, and DAX calculations.
Key modules:- 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
- For building strong reporting and visualization skills
- Learning path: Build Power BI visuals and reports
Focus: Report design, filters, user experience, and analytics.
Key modules:- Scope report design requirements
- Design Power BI reports
- Create visual calculations in Power BI Desktop
- Configure Power BI report filters
- Enhance Power BI report designs for the user experience
- Perform analytics in Power BI
- For security, sharing, and managing content (important for data analysts)
- Learning path: Manage and secure Power BI
Focus: Workspaces, semantic models, dashboards, content distribution, and security (RLS/OLS).- 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
- For more advanced/enterprise data modeling
- Learning path: Prepare data for tabular models in Power BI
Focus: Model frameworks, scalability, star schema, and dataflows.- Choose a Power BI model framework
- Understand scalability in Power BI
- Create and manage scalable Power BI dataflows
- For broader analytics and BI culture with Microsoft 365 tools
- Learning path: Empower modern analytics and business intelligence data cultures with Excel, Power BI, MS Teams, and SharePoint
Focus: Using Excel, Power BI, Teams, and SharePoint together for analytics.- Automate data cleaning with Power Query
- Introduction to foundations in data modeling
- Design interactive data experiences with Power BI Desktop
How to find these modules and paths
- Go to Microsoft Learn and search by the exact learning path or module titles listed above (for example, “Prepare and visualize data with Microsoft Power BI” or “Model data with Power BI”).
- Filter by Product = Power BI and Role = Data Analyst to see all relevant Power BI/data analyst content.
- For certification-oriented learning, look for content that mentions Microsoft Certified: Data Analyst Associate or Azure Enterprise Data Analyst Certification in its description.
A practical order to follow
- Prepare and visualize data with Microsoft Power BI
- Prepare data for analysis with Power BI
- Model data with Power BI
- Build Power BI visuals and reports
- Manage and secure Power BI
- Prepare data for tabular models in Power BI (for advanced/enterprise scenarios)
- Empower modern analytics and business intelligence data cultures… (for broader Microsoft 365 integration)
References:
- Prepare data for analysis with Power BI
- Manage and secure Power BI
- Prepare data for tabular models in Power BI
- Prepare and visualize data with Microsoft Power BI
- Build Power BI visuals and reports
- Model data with Power BI
- Choose a Power BI model framework
- Empower modern analytics and business intelligence data cultures with Excel, Power BI, MS Teams, and SharePoint