How to choose modules

Hlengiwe Kwenzekile 0 Reputation points
2026-05-15T20:09:43.82+00:00

I want to do Power BI and Data analyst which modules are suitable for that and how can I find them

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  1. Ruby-N 13,320 Reputation points Microsoft External Staff Moderator
    2026-05-15T20:57:30.1033333+00:00

    Dear @Hlengiwe Kwenzekile, 

    Thank you for reaching out and sharing your learning goal. 

    The most suitable modules are the official Microsoft Learn learning paths aligned with the Power BI Data Analyst role and the PL 300 certification. These learning paths are designed to help you progress from foundational knowledge to practical, job ready skills such as preparing data, building data models, creating reports and managing Power BI content. 

    Below are the recommended learning paths you can follow. Each learning path includes multiple modules with step-by-step lessons: 

    This is a good starting point if you are new. It introduces key data analytics concepts and helps you begin working with Power BI and Power Query. 

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    Next, you can follow the same steps above while going through the lessons and modules available on Microsoft Learn: 

    Additionally, you can find more modules on Microsoft Learn by going to Browse all training. 

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    Use filters such as “Power BI” or "Power Query", choose “Data Analyst” under Roles and apply other filters based on your needs. Then, select learning paths that match the topics above. 

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    • If you cannot find the modules, please try the following: 

    Sign in to Microsoft Learn using your Microsoft account. 

    Change the language to English if content appears limited. 

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    As community moderators, we kindly ask for your understanding that our access to internal development details is limited. Our role is limited to providing technical guidance on reported issues, requests, or ideas. However, I will try my best to guide you as clearly as possible.     

    I hope this helps you get started with your learning journey. Please feel free to reach out if you need further guidance or support. 

    Thank you for your patience and understanding. 

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  2. AI answer

    2026-05-15T20:10:11.05+00:00

    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.

    1. 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
    1. 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
    1. 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
    1. 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
    1. 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
    1. 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
    1. 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

    1. Prepare and visualize data with Microsoft Power BI
    2. Prepare data for analysis with Power BI
    3. Model data with Power BI
    4. Build Power BI visuals and reports
    5. Manage and secure Power BI
    6. Prepare data for tabular models in Power BI (for advanced/enterprise scenarios)
    7. Empower modern analytics and business intelligence data cultures… (for broader Microsoft 365 integration)

    References:

    AI-generated content may be incorrect. Read our transparency notes for more information.

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