Power BI Tutorial for Beginners: How to Use Power BI in 10 Minutes

TL;DR

The Power BI tutorial for beginners NNSHu0rkew8 teaches how to import Excel data, clean it with Power Query, connect tables, create interactive visuals, filter results, and share reports. It demonstrates the complete workflow in Power BI Desktop using Customers and Orders tables from the Kevin Cookie Company. Read on for precise steps covering installation, data modeling, charts, cards, and cross-filtering.

Transcript

Hi everyone, Kevin here. Today, we are going to learn how to use Power BI in just 10 minutes. All organizations have a tremendous amount of data, but what are the stories behind that data, and what decisions should you make based on that data? Power BI can help us with this. We'll start with how you can import data into Power BI. Then we'll look at... Read More

Key Insights

• Power BI Desktop provides the full functionality required to model data and build reports, while the standard Power BI app focuses on viewing and interacting with existing reports. Report Builder offers similar capabilities to Desktop, but the tutorial describes it as less feature rich.
• The Get Data menu supports many data sources, and the tutorial demonstrates importing two Excel tables named Customers and Orders. The Navigator displays tables and sheets, previews their contents, and lets users choose whether to load the selected data directly or transform it first.
• Power Query is a middle layer that cleans and modifies imported data without changing the original source. This is useful when users cannot edit a database or a spreadsheet owned by someone else but still need consistent, analysis-ready information inside Power BI.
• Applied Steps record every Power Query transformation and reuse those operations when additional data arrives. In the example, the country value US is replaced with United States, while the unnecessary Rush Shipment column is removed from the Orders query before changes are applied.
• The Model view displays relationships between imported tables. Power BI automatically detects the relationship between Customers and Orders through their shared customer ID fields, and users can manually establish a missing relationship by dragging a matching field from one table onto the other.
• A Power BI report is a collection of visualizations created from imported data fields. The line chart uses Cookies Shipped on the Y axis and Order Date on the X axis, producing a time-based view that can be resized, repositioned, formatted, and renamed.
• Date drill controls change the level of detail displayed in a time-based chart. The daily cookies-shipped view is difficult to interpret, so drilling up to monthly and yearly levels creates a clearer presentation of shipment patterns across the available order dates.
• Relationships make cross-filtering possible across separate tables. Selecting a customer name in the customer table automatically filters both the cookies-shipped line chart and the revenue card because the Customers and Orders tables are connected through customer ID.

Questions & Answers

Q: What does the Power BI tutorial for beginners NNSHu0rkew8 teach?

It teaches how to use Power BI in 10 minutes, beginning with importing data and building a data model. It also covers adding visuals, filtering data, and sharing reports and dashboards with others.

Q: Which Power BI application should beginners install?

Install Power BI Desktop from the Microsoft Store. It provides the full functionality needed to model data and build reports, while the standard Power BI application focuses on viewing and interacting with existing reports.

Q: How do you import an Excel workbook into Power BI Desktop?

Open the Home tab, select Get Data, and choose the Excel workbook option. In the Navigator, preview and select the Customers and Orders tables, then choose Load to import them unchanged or Transform Data to clean them first.

Q: How does Power Query clean data without changing the original Excel file?

Power Query works as a middle layer between the original source and Power BI. It lets you modify and clean imported data without affecting the underlying Excel workbook, spreadsheet, or database.

Q: What data-cleaning changes are demonstrated in Power Query?

The tutorial standardizes the country values by replacing US with United States. It also removes the unnecessary Rush Shipment column from the Orders query, and the transformations are recorded as applied steps.

Q: How do you connect the Customers and Orders tables in Power BI?

Open Model view to inspect the relationship between the imported tables. Power BI detects their shared customer ID fields automatically, or you can create the relationship by dragging a matching field from one table to the other.

Q: How do you create a line chart for cookies shipped over time?

Add a line chart, place Cookies Shipped on the Y axis, and place Order Date on the X axis. You can then resize, reposition, format, and rename the chart, or use date drill controls to display monthly or yearly shipment patterns.

Q: Why does selecting a customer filter the other Power BI visuals?

The Customers and Orders tables are related through their customer ID fields. When a customer is selected, Power BI follows that relationship and updates the line chart and revenue card with the associated order data.

Summary & Key Takeaways

• Power BI Desktop provides the complete workflow needed to model data and create reports. After installing it from the Microsoft Store, users can import information from sources such as Excel. The Navigator previews available tables and sheets, allowing selected data to be loaded directly or transformed before entering the report.

• Power Query acts as a middle layer between the original source and Power BI. It can standardize inconsistent values, remove unnecessary columns, and retain every transformation as an applied step. These recorded steps can be applied again when additional data is imported, while the underlying Excel workbook or database remains unchanged.

• A Power BI report is a collection of visualizations built from imported fields. The tutorial creates a line chart for cookies shipped over time, a card showing total revenue, and a customer table. Because the tables share a customer ID relationship, selecting a customer automatically filters the other report visuals.