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To use Power BI as a beginner, connect a data source in Power BI Desktop, prepare its data with Power Query, build a simple model, and create visuals in a report. Save the report locally; publish it to the Power BI service only if you need its online features or want to share it. Microsoft’s overview follows this same progression from connecting to data through publishing: Power BI overview.

Start in Power BI Desktop or the Power BI service?

Power BI Desktop is a free Windows application for connecting to data, transforming it, and creating interactive visual reports. It is a practical place to learn the end-to-end report workflow on your own computer. Microsoft offers installation through the Microsoft Store or its Download Center; see Get started with Power BI Desktop.

The Power BI service is the online environment for creating and sharing content. Choose your starting point based on what you need to do:

  • Learn report-building locally: start in Desktop and save your report on your computer.
  • Work online or collaborate: learn the service workflow and check the license rules for your workspace and intended audience before planning to share.

Desktop authoring and service-based sharing are related but distinct workflows. You do not have to publish every report. Microsoft describes the distinction in its guide to using Power BI Desktop files in the service.

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Build a first report in Power BI Desktop

Use a small, understandable dataset for your first attempt, such as a spreadsheet with dates, categories, and amounts. Decide what you want the report to answer—for example, how much was sold by month—before choosing visuals. The following sequence takes you from a source file to a saved report.

1. Connect to a data source

  1. Open Power BI Desktop and select Home > Get data.
  2. Choose a connector, such as Excel, and select or connect to your file.
  3. Review the available tables or sheets, then load the data you need. Microsoft’s connect-to-data quickstart introduces this step and covers sources including Excel and online services.

Start with only the tables needed for your report. A smaller dataset makes it easier to inspect fields and understand what each visual is showing.

2. Prepare the data with Power Query

Before creating charts, inspect whether the rows and fields match the question you want the report to answer. Use Power Query to clean and shape the data—for example, remove irrelevant rows or columns, correct field types, and make field names understandable. These changes are part of preparing the data, not decorating the report. Microsoft includes data transformation and cleaning in the Desktop getting-started workflow.

When the data is ready, apply the changes and load the prepared data into the model. Check that dates are treated as dates and amounts as numeric values; incorrect types can lead to confusing sorting or calculations.

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3. Check the model and relationships

The model is the organized data that your visuals use. If your report uses a single well-formed table, you may be able to begin with that table. When it uses multiple tables, make sure the necessary relationships connect them so that fields from one table can filter or summarize fields in another. Power BI’s overview of modeling and reporting explains how relationships and calculations support visual reports.

Do not add relationships or calculations just because the software offers them. Add what the report’s data and questions require, then verify that totals and filters behave as expected.

4. Create visuals from fields

In the report canvas, choose a visual such as a table, bar chart, or line chart, then place relevant fields in it. For a simple sales-by-month view, use a date field for the time axis and a numeric sales field for the value. A table can help you inspect the underlying categories and amounts before you rely on a chart.

Give each visual a clear purpose and title. Check that its labels, categories, and totals make sense against the source data, and add other visuals only when they answer a distinct question. A report is an authored collection of visuals; a dashboard in the service can instead be assembled from tiles pinned from reports. Microsoft demonstrates that service workflow in Get started creating in the Power BI service.

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5. Save the report

Save your work as a Power BI Desktop file on your computer. You can continue editing the report there without publishing it online. If you do need online access or sharing, publish the file to a workspace in the Power BI service; Microsoft explains that workflow in its Desktop-file guidance.

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Learn DAX after the basics

DAX is the expression language Power BI uses for calculations over data in a model. It is useful when the fields and visuals you already have do not answer a question with the calculation you need. For example, a measure can calculate a total that responds to report filters.

First become comfortable importing data and adding fields to a report, then learn the difference between measures and calculated columns before writing formulas. Microsoft’s DAX basics quickstart assumes those foundations rather than treating DAX as the first step.

Publish and share only when your workflow requires it

To use the online service, publish the report to a workspace. In the service, you can work with reports and dashboards, including adding report visuals to a dashboard and arranging its tiles. Whether you can share with other people depends on the licensing and workspace circumstances, not simply on having a Desktop file.

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Microsoft’s service tutorial says a free Power BI (Fabric) license allows report creation in My workspace, while sharing reports or publishing to shared workspaces requires Pro or Premium Per User in the situations described there. The precise requirements vary with workspace capacity, role, and distribution stage. Check Microsoft’s current service tutorial and end-to-end Power BI tutorial for the scenario you plan to use.

A beginner’s checklist for a useful first report

  • Choose one question the report should answer.
  • Connect only the source data needed to answer it.
  • Inspect and prepare the data in Power Query before building visuals.
  • Check field types and relationships where multiple tables are involved.
  • Use visuals that clarify the answer, then verify their values against the source.
  • Save locally; publish to a workspace only when online access or sharing is needed.

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