Power BI Tutorial in 10 Minutes | Get Started Now!
2 min read
4 months ago
Published on Apr 22, 2024
This response is partially generated with the help of AI. It may contain inaccuracies.
Table of Contents
Step-by-Step Power BI Tutorial:
Step 1: Importing and Transforming Data
- Go to the Microsoft Store and search for "Power BI Desktop."
- Download the Excel file provided in the video description.
- Open Power BI Desktop and click on "Get Data" > "Excel workbook."
- Select the downloaded Excel file and open the Navigator.
- Preview the sheets and select all three sheets to either load or transform the data.
- Use the Power Query Editor to make changes to the data, such as splitting columns or removing unnecessary columns.
- Click on "Close" to load the data into Power BI.
Step 2: Creating Reports
- Understand the Report view, where you will analyze the data.
- Link different tabs in the Model view by dragging and dropping related fields.
- Navigate to the Report view to start creating visuals.
- Use the visualizations pane to select and create different types of charts, like a column chart.
- Drag and drop fields to create visuals, such as sales by date.
- Utilize the drill-down feature to analyze data on different levels, like quarterly or monthly basis.
- Use artificial intelligence to explain data changes and create visuals like a waterfall chart or decomposition tree.
Step 3: Adding Key Figures and Sharing Reports
- Use cards to display key figures like total revenue or average sales.
- Create custom calculations using quick measures, such as calculating profit.
- Utilize the Q&A box to ask questions about the data.
- Share and collaborate on reports by uploading them to Power BI Service.
- Preview and share reports online or export them to formats like PowerPoint for further collaboration.
Additional Tips:
- Consider taking a Power BI course for in-depth learning.
- Explore more Power BI visuals and features for advanced reporting and analysis.
By following these steps, you can quickly get started with Power BI and create insightful reports based on your data.