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1Clear out junk files and repair common Windows errors2Fix the driver behind crashes, sound loss and screen glitches3Repair Windows errors before they cause bigger problemsTo use Power BI as a beginner, start in Power BI Desktop: connect a small dataset, clean it in Power Query, organize the data model, build a few visuals, and save the report. Publish to the Power BI service only if you need online access or sharing; that step has separate workspace and licensing requirements.
Choose Power BI Desktop or the online service
Power BI Desktop is a free Windows application for connecting to data, transforming it, and creating interactive visual reports. It is a practical starting point for learning the full workflow on your own computer. The Power BI service is the online environment for working with and sharing content.
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| Where you work | Best fit | What to know |
|---|---|---|
| Power BI Desktop | Learning locally and authoring reports | Connect to data, prepare it, model it, create visuals, and save a report on your computer. |
| Power BI service | Online authoring, collaboration, and sharing | Workspaces, dashboards, and sharing are part of the service workflow; licensing depends on the specific scenario. |
For the steps below, use Desktop. Microsoft documents installation through the Microsoft Store or Microsoft Download Center in its Desktop getting-started guide.
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Build a first report in Power BI Desktop
1. Connect to a data source
Open Desktop and, on the Home ribbon, select Get data. Choose an available connector, such as Excel, select the file or source, and follow the prompts to select the data you need. Microsoft’s connect-to-data quickstart covers Excel and online services among the available source types.
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For a first report, choose a dataset with a clear question to answer—for example, sales by month or expenses by category. Start with only the tables and fields needed to answer that question.
2. Prepare the data in Power Query
Before making charts, inspect the imported data in Power Query. Check that each column contains the kind of information its name suggests, remove rows or fields the report does not need, and correct obvious formatting or data-type problems. This preparation step helps the report represent the data as intended. Microsoft includes data transformation and cleaning in its Desktop beginner workflow.
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When the data is ready, load the prepared data into the model.
3. Organize the model
A model is the structure Power BI uses to connect tables and support analysis. If your data is in more than one table, check whether the tables need relationships so that fields from one table can filter or describe values in another. Modeling also includes calculations; Microsoft’s Power BI overview separates this work from the later task of presenting results as visuals.
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Do not add complexity before the report needs it. A single, well-prepared table can be enough for a first visual; multiple related tables require you to understand how their relationships affect the results.
4. Create visuals
Build a visual by choosing a chart or table and placing relevant fields into it. For example, put a date field on a time axis and a numeric field in the values area to examine a trend. Add a category field when a comparison between groups answers the question more clearly. Use a table when readers need to inspect exact values rather than see a pattern.
Keep the first page focused on the question you chose. Give visuals clear titles, check that the displayed totals make sense, and avoid adding charts that do not help a reader understand the result.
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Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Repair Windows errors before they cause bigger problemsFix Now →5. Save the report
Save your work locally as a Power BI Desktop report file. You can continue to edit the report in Desktop without publishing it. Microsoft’s guide to Power BI Desktop files explains how Desktop files relate to the service.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.When to learn DAX
DAX is the formula language used for calculations in a Power BI model. Microsoft’s DAX basics guide defines it as a collection of functions, operators, and constants used in expressions that calculate and return values.
Learn the basics of importing data, adding fields to a report, and distinguishing measures from calculated columns before studying DAX. That is the assumed starting point in Microsoft’s beginner guide. A measure is a calculation evaluated in the context of a visual or filter selection; it is often a good next step when a report needs a reusable calculation such as a total or average.
Publish only when you need online access or sharing
Publishing takes a report from Desktop into a workspace in the Power BI service. It is useful when you need to work with the report online or distribute it, but it is not required to create or save a report locally. Microsoft’s Desktop-file guidance describes the connection between local files and the service.
In the service, a report is an authored set of visuals. A dashboard is a separate service view that can be assembled from tiles pinned from reports; Microsoft’s service tutorial demonstrates adding report visuals to a dashboard and arranging the tiles.
Check Microsoft’s current licensing guidance before publishing for other people. The service tutorial says a free Power BI (Fabric) license permits report creation in My workspace, while sharing reports or publishing to shared workspaces requires Pro or Premium Per User in the situations it describes. The applicable requirement can depend on workspace capacity, role, and how content is distributed; Microsoft’s end-to-end tutorial details those distinctions. Do not assume a single license rule applies to every sharing setup.
Quick Recap
A practical order for learning
- Install Power BI Desktop and connect to one small dataset.
- Use Power Query to inspect and prepare the data, then load it.
- Check the model and create relationships if the report uses related tables.
- Build a few visuals that answer one clear question and verify their values.
- Save locally; move to the Power BI service only when online use or sharing is needed.
- Learn DAX once importing data and adding fields feel familiar.
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