Exploring the Power BI Desktop Interface

Course: Microsoft Power BI Training

Topic: Exploring the Power BI Desktop Interface

Course Link: Microsoft Power BI Training – JustAcademy

Demo Link: Register for a Course Demo

Website: JustAcademy

1. Introduction to the Power BI Desktop Interface

Power BI Desktop is a business intelligence and data visualization application developed by Microsoft. It enables users to connect to different data sources, transform raw data, create relationships between tables, build interactive reports, and prepare data models for analysis.

The Power BI Desktop interface provides a collection of tools and workspaces that help users perform data analysis efficiently. Understanding this interface is an essential first step for beginners who want to create meaningful reports and dashboards.

Power BI Desktop is primarily used to develop reports on a computer. Reports can subsequently be published to the Power BI Service for online sharing, collaboration, and dashboard creation.

1.1 What Is the Power BI Desktop Interface?

The Power BI Desktop interface is the main working environment in which users import data, clean datasets, design data models, create visualizations, and manage report pages.

It includes several important areas:

• Title Bar: Displays the report name and application information.
• Ribbon: Provides commands for data loading, modeling, formatting, and reporting.
• Report Canvas: The main workspace used to arrange charts, tables, cards, and other visuals.
• View Navigation: Allows users to switch between Report, Table, and Model views.
• Visualizations and Build Visual: Provides options for creating and configuring visualizations, depending on the interface version.
• Data or Fields Pane: Displays tables, columns, and measures available in the model.
• Filters Pane: Allows users to filter visualizations, pages, and reports.
• Page Tabs: Allow users to create and navigate between report pages.
• Status Bar: Provides information about the current report or view.

1.2 Why Is Learning the Interface Important?

• It helps beginners navigate Power BI Desktop confidently.
• It makes data import and transformation easier.
• It helps users find visualization and formatting tools quickly.
• It supports accurate data modeling and relationship management.
• It reduces mistakes when creating reports.
• It improves productivity when developing business intelligence solutions.

2. Understanding the Power BI Desktop Home Screen

When Power BI Desktop opens, users can begin a new report, open an existing report, or connect to data. The exact welcome screen and available options may vary depending on the installed version and configuration.

2.1 Main Options on the Start Screen

2.2 Creating a New Report

Follow these steps to start a new Power BI project:

1. Open Power BI Desktop.
2. Select the option to create a blank report, if the welcome screen appears.
3. Locate the Home tab in the ribbon.
4. Select Get Data to connect to a source, or choose the appropriate data connection option.
5. Select the required source, such as Excel, CSV, SQL Server, or another supported connector.
6. Load the data or choose Transform Data to clean it before loading.
7. Save the report with a meaningful name.

Example: To create a sales report, import an Excel file containing Order Date, Product, Region, Quantity, and Sales Amount. You can then use these fields to create charts and analyze business performance.

3. Understanding the Title Bar

The Title Bar appears at the top of the Power BI Desktop window. It helps identify the current report and provides access to window controls and other available application options.

3.1 Main Functions of the Title Bar

• Displays the current report name or file information.
• Helps users identify which report is open.
• Provides standard window controls, such as minimize, maximize, and close.
• May include application-specific shortcuts or account information, depending on the version.

3.2 Saving a Report

Saving a report protects your work and allows you to continue editing it later.

1. Open the File menu or use the available Save command.
2. Select Save As if you are saving the report for the first time.
3. Choose a suitable folder.
4. Enter a descriptive file name.
5. Save the report in Power BI Desktop format, usually with the .pbix extension.

Best Practice: Use descriptive file names such as Monthly_Sales_Analysis.pbix instead of generic names such as Report1.pbix.

4. Exploring the Ribbon

The Ribbon is one of the most important parts of the Power BI Desktop interface. It contains tabs that group related commands together. The commands visible on the ribbon can change according to the selected view, object, or application version.

4.1 Home Tab

The Home tab contains frequently used commands for connecting to data and managing report content.

4.2 Insert Tab

The Insert tab provides options for adding content to a report. Depending on the Power BI Desktop version, available commands may include:

• Text boxes for headings and explanations.
• Buttons for navigation and interactive actions.
• Shapes for visual organization.
• Images for logos and other visual assets.
• Additional report elements supported by the current interface.

Example: Insert a text box at the top of a report and write "Quarterly Sales Performance" to explain the purpose of the report.

4.3 Modeling Tab

The Modeling tab contains tools for defining how data is organized and calculated.

• Create calculated columns using DAX formulas.
• Create measures for calculations such as total sales or profit.
• Create or manage relationships between tables.
• Configure data categories and other model properties where supported.
• Manage calculation-related features available in the current version.

Example DAX Measure:

Total Sales = SUM(Sales[Sales Amount])

This measure calculates the sum of the values in the Sales Amount column of the Sales table. The result changes according to the filters and context applied to the report.

4.4 View Tab

The View tab provides options that help users organize and inspect their workspace.

• Show or hide available panes.
• Adjust report canvas display settings.
• Use gridlines and snap-to-grid options where available.
• Access layout and view-related options.
• Inspect mobile layout features when supported.

4.5 Help Tab

The Help tab provides access to learning resources and assistance. Depending on the version, it may include links to documentation, training resources, support, and product information.

Beginners can use these resources to understand unfamiliar commands and learn recommended reporting practices.

5. Understanding Report View

Report View is the primary workspace for creating interactive reports. It allows users to place visuals on the canvas, arrange report elements, apply filters, and design pages for business analysis.

5.1 Main Features of Report View

• Displays the report canvas.
• Supports charts, tables, matrices, cards, and other visuals.
• Allows users to resize and reposition visuals.
• Supports multiple report pages.
• Works with filters and slicers to explore data.
• Allows users to configure visual interactions and formatting.

5.2 Creating Your First Visualization

Suppose you have imported a sales dataset containing Product, Region, and Sales Amount columns.

1. Open Report View.
2. Select an appropriate chart type from the visualization-building options.
3. Add Product to the category or axis field.
4. Add Sales Amount to the value field.
5. Confirm that the aggregation is appropriate, such as Sum of Sales Amount.
6. Resize the visual and position it on the canvas.
7. Use formatting options to add a title and improve readability.

The resulting chart can compare sales across products. Selecting a category may also affect other visuals according to the report's interaction settings.

5.3 Common Visual Types

6. Exploring Table View (Data View)

Table View, historically known as Data View, allows users to inspect the data loaded into the Power BI data model. The view displays rows and columns from model tables and helps users understand the structure and contents of the dataset.

6.1 Main Features

• Displays records from a selected table.
• Allows users to inspect column names and data values.
• Helps verify whether imported data looks correct.
• Supports inspection of calculated columns.
• Provides access to relevant column properties and modeling features.

6.2 Example

Suppose a Sales table contains the following records:

In Table View, users can check whether the values have been imported correctly, whether quantities are numeric, and whether the Sales Amount column contains the expected values.

6.3 When Should You Use Table View?

• When verifying imported records.
• When checking column data types and values.
• When inspecting calculated columns.
• When investigating unexpected results in a visual.
• When confirming that a table contains the expected data.

Important: Table View is designed for inspecting and modeling loaded data. For substantial data cleaning, filtering, splitting columns, or replacing values before loading, use Power Query Editor.

7. Exploring Model View

Model View provides a visual representation of the tables in the data model and the relationships between them. It is particularly important when working with multiple tables.

7.1 What Is Data Modeling?

Data modeling is the process of organizing tables, defining relationships, and configuring how data is used in calculations and reports.

A well-designed data model improves report accuracy, simplifies DAX calculations, and helps maintain consistent results across visuals.

7.2 Main Features of Model View

• Displays tables and their columns.
• Shows relationships between tables.
• Helps users inspect relationship cardinality.
• Supports configuration of relationship properties.
• Helps users identify disconnected or incorrectly connected tables.
• Supports organizing and managing complex models.

7.3 Example of a Relationship

Consider two tables:

• Sales Table: Contains Order ID, Product ID, Quantity, and Sales Amount.
• Products Table: Contains Product ID, Product Name, and Category.

The Product ID column can connect the Sales table to the Products table. A typical design uses a one-to-many relationship from Products to Sales, assuming Product ID is unique in the Products table and each product can appear in multiple sales records.

Products[Product ID]  1 ───────── *  Sales[Product ID]

This relationship allows users to analyze sales using product names and categories without storing all product details in every sales record.

7.4 Common Relationship Concepts

7.5 Best Practices for Model View

• Use unique keys on the one side of one-to-many relationships.
• Prefer a clear star schema for many analytical models.
• Use dimension tables for descriptive attributes and fact tables for business events or measurements.
• Avoid unnecessary relationships.
• Review ambiguous filter paths before changing relationship directions.
• Confirm that relationships produce the expected report results.

8. Understanding the Data or Fields Pane

The Data pane, previously called the Fields pane in many versions, displays tables and their available fields. It is a key area for selecting columns and measures when building visuals.

8.1 What Can You Find in This Pane?

• Table names.
• Columns imported from data sources.
• Measures created with DAX.
• Calculated columns and other model fields.
• Field names that can be used in visuals, filters, and calculations.

8.2 Example Dataset

Imagine that the Sales table contains these fields:

• Order Date
• Product Name
• Region
• Quantity
• Sales Amount
• Profit

To create a sales-by-region chart, add Region as the category and Sales Amount as the value. To compare profitability, use Profit or an appropriate profit measure.

8.3 Columns Versus Measures

Tip: Use measures for most aggregated business calculations that need to respond dynamically to report filters.

9. Exploring the Visualizations and Build Visual Options

The visual-building area is used to select visual types and assign data fields. In newer Power BI Desktop versions, the interface may use the Build visual experience, and some formatting or configuration options may appear in different panes.

9.1 How to Build a Visual

1. Select a blank area of the report canvas or select an existing visual.
2. Choose a visual type.
3. Add the required columns or measures to the appropriate field wells.
4. Review the aggregation and formatting settings.
5. Resize and position the visual.
6. Use the formatting options to configure titles, labels, colors, axes, and other supported properties.

9.2 Example: Create a Sales Chart

Assume the dataset contains Product and Sales Amount.

Category / Axis: Product
Values / Y-axis: Sales Amount
Aggregation: Sum

The chart displays total sales for each product. If the report also contains Region, users can add a slicer to analyze selected regions.

9.3 Formatting a Visualization

Formatting makes reports easier to understand and more professional.

• Add a clear and descriptive title.
• Use suitable number formats, such as currency or percentage.
• Keep axis labels readable.
• Use colors consistently.
• Remove unnecessary visual clutter.
• Display data labels when they help users interpret the values.
• Use appropriate chart types for the analytical question.

10. Understanding the Filters Pane

The Filters pane allows users to control which data appears in a visual, on a report page, or across the report. Filters help users focus on specific categories, dates, regions, or business conditions.

10.1 Types of Filters

10.2 Applying a Filter

1. Select the relevant visual, page, or report filter area.
2. Locate the field you want to filter.
3. Choose the required values or condition.
4. Review the updated visuals.
5. Confirm that the filter affects the intended report elements.

Example: Apply a Region filter to show sales for the West region. The affected visuals update to reflect the selected data, subject to the filter configuration and model relationships.

10.3 Filters Pane Versus Slicers

A filter can be configured in the Filters pane, while a slicer is a visual placed on the report canvas to let report consumers interactively select values.

For example, a report creator can set a page-level filter to limit the page to the current financial year and add a Region slicer so users can switch between regions.

11. Understanding Report Pages and Page Tabs

A Power BI report can contain multiple pages. Each page can focus on a particular business question while using the same underlying data model.

11.1 Managing Report Pages

• Add a new page to create another analytical view.
• Rename pages with descriptive titles.
• Duplicate pages when a similar layout is required.
• Delete pages that are no longer needed.
• Reorder pages to create a logical reading sequence.
• Configure page size and layout options where available.

11.2 Example of a Multi-Page Sales Report

Organizing a report into pages helps users find information quickly and prevents a single page from becoming overcrowded.

12. Understanding Power Query Editor

Power Query Editor is the data preparation environment used to connect to, clean, reshape, and transform data before it is loaded into the Power BI data model.

It is commonly opened using the Transform Data command on the Home tab.

12.1 Main Areas of Power Query Editor

• Ribbon: Contains transformation commands.
• Queries Pane: Lists queries and imported data objects.
• Data Preview: Displays a preview of the selected query.
• Query Settings: Shows properties such as query name and applied steps.
• Applied Steps: Records transformations performed on a query.

12.2 Common Data Transformations

12.3 Example: Cleaning Sales Data

Suppose the sales dataset contains duplicate orders, inconsistent date formats, and unnecessary columns. You can clean the dataset by following these steps:

1. Select Transform Data.
2. Review the data preview.
3. Remove columns that are not required for analysis.
4. Set the correct data types for dates, quantities, and amounts.
5. Investigate duplicate records before removing them.
6. Standardize inconsistent text values.
7. Review the Applied Steps list.
8. Select Close & Apply to load the transformed data into the model.

Important: Do not remove duplicate records without understanding the business meaning of each row. Two orders may legitimately contain the same product and amount.

13. Understanding Data Types and Column Properties

Data types define how Power BI interprets the values in a column. Correct data types are essential for calculations, sorting, filtering, relationships, and visualization.

13.1 Common Data Types

13.2 Why Data Types Matter

• Text values cannot always be used directly in mathematical calculations.
• Incorrect date types can prevent proper time-based analysis.
• Text-formatted numbers may sort alphabetically rather than numerically.
• Incorrect data types can cause relationship and aggregation problems.
• Using suitable numeric types improves calculation reliability.

Example: If Quantity is imported as text, converting it to a whole number may be necessary before calculating total quantities or multiplying it by a numeric unit price.

14. Using the Formula Bar and DAX

DAX, or Data Analysis Expressions, is the formula language used in Power BI for creating measures, calculated columns, and calculated tables.

The formula bar and related modeling commands allow users to enter and edit expressions. The exact editing experience depends on the selected object and Power BI Desktop version.

14.1 What Is DAX Used For?

• Calculating total sales.
• Computing profit and profit margins.
• Calculating year-to-date performance.
• Comparing current and previous periods.
• Creating business metrics that respond to filters.

14.2 Example DAX Measures

Total Sales = SUM(Sales[Sales Amount])

Total Quantity = SUM(Sales[Quantity])

Total Profit = SUM(Sales[Profit])

Profit Margin =
DIVIDE([Total Profit], [Total Sales], 0)

These measures calculate total sales, total quantity, total profit, and profit margin. The Profit Margin measure uses DIVIDE to handle a zero denominator safely.

14.3 Creating a Measure

1. Select the appropriate table in the Data pane or model.
2. Choose New Measure from the available modeling commands or the table's context menu.
3. Enter a DAX formula.
4. Confirm that the formula is valid.
5. Format the measure appropriately, such as currency or percentage.
6. Add the measure to a visual to test the result.

15. Understanding Slicers and Interactive Reports

Slicers are report visuals that allow users to filter data through an interactive interface. They are useful for reports that need to support exploration without requiring consumers to edit the report's underlying configuration.

15.1 Common Slicer Fields

• Year or Order Date.
• Region or Country.
• Product Category.
• Customer Segment.
• Salesperson.

15.2 Creating a Region Slicer

1. Insert a slicer visual.
2. Add the Region column to its field.
3. Position the slicer in a visible location.
4. Configure the slicer presentation, such as a list or dropdown, where available.
5. Select a region and check the effect on the other visuals.
6. Review visual interaction settings if some visuals do not respond as expected.

A well-designed slicer makes it easier for users to answer questions such as "How did sales perform in the North region?" or "Which products generated the most revenue this year?"

16. Understanding the Status Bar and Workspace Navigation

The status bar and workspace navigation features help users understand the current report state and move between different working areas.

16.1 Workspace Navigation

• Use Report View to design and interact with report visuals.
• Use Table View to inspect loaded data.
• Use Model View to examine tables and relationships.
• Use report page tabs to switch between report pages.
• Use zoom controls or canvas view options where available.

16.2 Practical Navigation Tips

• Give each report page a descriptive name.
• Keep important report pages in a logical sequence.
• Use zoom settings to work comfortably with large report layouts.
• Save the report regularly.
• Learn keyboard shortcuts that are available in your version.

17. Customizing the Power BI Desktop Workspace

Power BI Desktop offers options for adapting the workspace to different tasks. Some panes can be shown or hidden, and the arrangement of tools may vary depending on the current version and interface settings.

17.1 Organizing the Workspace

• Show the panes you use frequently.
• Hide unnecessary panes when you need more room for the canvas.
• Keep the report canvas large enough to work with visuals comfortably.
• Use a consistent approach to formatting report pages.
• Choose suitable page dimensions for the report's intended audience.

17.2 Report Layout Considerations

Before arranging visuals, consider the purpose of the report and the people who will use it.

• Place the most important metrics near the top.
• Group related charts together.
• Align visual edges and use consistent spacing.
• Keep colors and typography consistent.
• Ensure that labels and titles are readable.
• Avoid overcrowding the page with too many visuals.

18. Practical Example: Exploring the Interface with a Sales Dataset

In this practical exercise, you will use the main areas of Power BI Desktop to create a simple sales report.

18.1 Sample Dataset

18.2 Step 1: Import the Dataset

1. Prepare the data in an Excel or CSV file.
2. Open Power BI Desktop.
3. Select Get Data.
4. Choose the appropriate source.
5. Select the file and inspect the available tables or data.
6. Choose Transform Data if cleaning is required; otherwise, load the data.

18.3 Step 2: Inspect the Data

1. Open Table View.
2. Confirm that all expected columns are present.
3. Check that Order Date is a date and that Quantity and Sales Amount are numeric.
4. Investigate missing or unexpected values.

18.4 Step 3: Review the Data Model

Open Model View and inspect the tables. This simple example may require only one table, so no relationship is necessary. In a larger model, you would inspect how sales data connects to product, customer, and date dimension tables.

18.5 Step 4: Create a Total Sales Measure

Total Sales = SUM(Sales[Sales Amount])

Create the measure using the available modeling commands. If your table has a different name, replace Sales with the actual table name.

18.6 Step 5: Build the Report

1. Open Report View.
2. Add a Card visual and place Total Sales in it.
3. Add a bar chart and use Product as the category and Sales Amount as the value.
4. Add a column chart to compare sales by Region.
5. Add a slicer using Region.
6. Give each visual a descriptive title.
7. Arrange the visuals to create a clear report layout.

18.7 Step 6: Test Interactivity

Select a region in the slicer and observe how the visuals respond. If the visuals do not react as expected, check the model relationships, slicer configuration, and visual interaction settings.

18.8 Step 7: Save the Report

Save the file as Sales_Interface_Practice.pbix. This exercise provides experience with data import, Table View, Model View, Report View, measures, visuals, slicers, and saving a report.

19. Common Power BI Desktop Interface Problems and Solutions

20. Best Practices for Working with Power BI Desktop

20.1 Interface Navigation

• Learn the purpose of each major view before building complex reports.
• Use the ribbon and contextual menus to find relevant commands.
• Keep frequently used panes accessible.
• Save your work regularly.

20.2 Data Preparation

• Check column names and data types before building visuals.
• Use Power Query for repeatable data-cleaning steps.
• Investigate missing values and duplicates carefully.
• Remove unnecessary columns when they are not required for analysis.

20.3 Data Modeling

• Use meaningful table and column names.
• Build clear relationships using appropriate keys.
• Prefer measures for dynamic aggregated calculations.
• Review relationship direction and cardinality.
• Hide technical columns from report consumers when appropriate.

20.4 Report Design

• Start with the business questions the report should answer.
• Use visualizations that match the type of analysis.
• Choose clear titles and readable labels.
• Apply consistent formatting and colors.
• Use slicers and filters to make exploration easier.
• Check the report at the size and layout in which it will be viewed.

21. Advantages of Understanding the Power BI Desktop Interface

• Improved Productivity: Users can locate commands and perform tasks more efficiently.
• Better Data Analysis: Different views make it easier to inspect, model, and visualize data.
• Accurate Reporting: Understanding data types, filters, and relationships helps prevent errors.
• Better Visualization: Report-building tools help present information clearly.
• Easier Troubleshooting: Users can identify whether an issue comes from the source data, model, or visual configuration.
• Scalable Reports: A clear understanding of the interface supports the development of more complex analytical reports.

22. Practice Exercises

Exercise 1: Identify the Interface Components

Open Power BI Desktop and locate the ribbon, report canvas, view navigation, data pane, Filters pane, and page tabs. Write one sentence explaining the purpose of each component.

Exercise 2: Import and Inspect Data

Import an Excel file containing customer or sales information. Inspect the data in Table View and identify at least three columns with different data types.

Exercise 3: Create a Basic Report

Create a bar chart, a card, and a table using the imported dataset. Add meaningful titles and arrange the visuals on a single report page.

Exercise 4: Use Filters and Slicers

Add a slicer based on a category such as Region or Product Category. Select different values and check whether the report updates correctly.

Exercise 5: Explore the Data Model

Import two related tables, such as Sales and Products. Create or inspect a relationship between them and verify that product attributes can be used to analyze sales.

Exercise 6: Save and Reopen

Save your report as a PBIX file, close it, and reopen it. Confirm that the report pages, visuals, model, and measures are retained.

23. Interview Questions and Answers

Q1. What is Power BI Desktop?

Answer: Power BI Desktop is Microsoft's report development and data modeling application. It allows users to connect to data, transform it, build relationships, create DAX calculations, and design interactive reports.

Q2. What are the main views in Power BI Desktop?

Answer: The main views traditionally include Report View, Table View (formerly Data View), and Model View. Their availability and presentation can vary with the installed version and configuration.

Q3. What is the purpose of Report View?

Answer: Report View is used to build report pages, add visualizations, apply filters, and create interactive data presentations.

Q4. What is Table View used for?

Answer: Table View displays loaded model data in rows and columns. It helps users inspect values, columns, and calculated columns.

Q5. What is Model View?

Answer: Model View displays tables and their relationships. It helps users understand how information flows between related tables in the data model.

Q6. What is the Ribbon in Power BI Desktop?

Answer: The Ribbon contains tabs and grouped commands for tasks such as importing data, transforming data, modeling, inserting report elements, and configuring views.

Q7. What is the purpose of the Data pane?

Answer: The Data pane lists tables, columns, and measures that users can select when building visuals, filters, and calculations.

Q8. What is the Filters pane?

Answer: The Filters pane allows users to configure visual-level, page-level, and report-level filters to control which data appears in the report.

Q9. What is the difference between Power Query Editor and Report View?

Answer: Power Query Editor prepares and transforms data before it is loaded into the model. Report View is used to build and format visual reports using the model data.

Q10. What is a slicer?

Answer: A slicer is an interactive visual that allows report users to filter data by selecting values such as a year, region, or product category.

Q11. What is a measure in Power BI?

Answer: A measure is a DAX calculation evaluated in the current filter context. It is commonly used for totals, averages, ratios, and other dynamic business metrics.

Q12. What is the purpose of Model View relationships?

Answer: Relationships connect tables using related columns so that filters and calculations can work across the data model.

Q13. What is a PBIX file?

Answer: A PBIX file is the standard Power BI Desktop report file format. It typically stores report definitions and the model data, depending on the report and connection configuration.

Q14. How can you publish a Power BI report?

Answer: Use the Publish command in Power BI Desktop, sign in when required, and select a destination workspace for which you have permission. Access to the Power BI Service and appropriate licensing or workspace permissions may be necessary.

Q15. Why is it important to understand the Power BI Desktop interface?

Answer: Understanding the interface helps users navigate efficiently, prepare data, build accurate models, create useful visuals, and troubleshoot reporting issues.

24. Quick Revision Checklist

• Understand the purpose of Power BI Desktop.
• Identify the title bar and ribbon.
• Recognize the main commands in the Home, Insert, Modeling, and View tabs.
• Understand Report View, Table View, and Model View.
• Know how to connect to a data source.
• Understand the role of Power Query Editor.
• Recognize common data types.
• Understand tables, columns, measures, and relationships.
• Know how to add and configure visualizations.
• Understand visual-level, page-level, and report-level filters.
• Know how to create and use slicers.
• Understand report pages and basic layout principles.
• Know how to save a PBIX file.
• Understand the basic steps for publishing a report.

25. Conclusion

Exploring the Power BI Desktop interface is the foundation for learning business intelligence and data visualization. By understanding the ribbon, Report View, Table View, Model View, Data pane, Filters pane, visualization tools, and Power Query Editor, beginners can navigate the application confidently and work more efficiently.

Regular practice with real datasets will help you connect to data, prepare information, create meaningful measures, build interactive visuals, and develop reports that support business decisions. Once you are comfortable with the interface, you can progress to advanced topics such as DAX, data modeling, time intelligence, report optimization, and publishing reports to the Power BI Service.

Learn More: Explore the Microsoft Power BI Training course at JustAcademy to continue developing your Power BI skills.

Course Demo: Register for a JustAcademy course demo to learn more about the training.

Official Learning Resource: Microsoft Power BI Documentation.