Power BI guide
Power BI for beginners: Microsoft data visualization guide
Power BI is Microsoft's data visualization tool, widely used in corporate environments. Learn the essentials — connecting data, building reports, and publishing dashboards.
What is Power BI?
Power BI is Microsoft's business intelligence tool. It connects to Excel, databases, SharePoint, Azure, and hundreds of cloud services — then lets you build interactive dashboards.
Power BI vs Tableau
Choose Power BI if your target companies use Microsoft products (banking, consulting, traditional enterprise).
Core concepts
Power BI has its own vocabulary. These five concepts come up constantly — understand them and the tool starts to make sense.
Power Query (M)
Where you clean and transform data. Think of it as Excel formulas for data prep.
DAX (Data Analysis Expressions)
A formula language for calculated metrics. Example: TotalRevenue = SUM(Sales[Amount])
Data Model
Relationships between tables (like database joins, but visual)
Report
A page with visuals (charts, tables, cards)
Dashboard
A pinboard of tiles from multiple reports
Your first 5 Power BI steps
These five steps take you from zero to a published, live dashboard. Work through them in order.
Download Power BI Desktop (free) from microsoft.com
Connect to an Excel file (File → Get Data → Excel)
Build a bar chart: drag a dimension to Axis, a measure to Value
Add a slicer (filter): drag a field to a Slicer visual for interactive filtering
Publish to Power BI Service (free account) to share a live dashboard
Free practice datasets
You do not need to find data to get started. These two sources give you everything you need for practice.
Microsoft's built-in sample datasets
Financial Sample, Retail Analysis, HR Sample — shipped directly in Power BI Desktop. No download needed to get started.
Kaggle
Download any CSV dataset and connect to Power BI. Thousands of real-world datasets across every industry.
DAX basics: 5 formulas to know
DAX powers every calculated metric in Power BI. These five formulas cover the most common analyst tasks.
Total Sales
Total Sales = SUM(Sales[Amount])Average Rating
Average Rating = AVERAGE(Products[Rating])Customer Count
Customer Count = COUNTROWS(Customers)YOY Growth
YOY Growth = DIVIDE([This Year Revenue] - [Last Year Revenue], [Last Year Revenue])Running Total
Running Total = CALCULATE([Sales], DATESYTD(Dates[Date]))Keep building
Build data skills step by step
Power BI is one piece of the data analyst toolkit. The full track covers SQL, Excel, Python basics, and the analytical thinking that turns charts into decisions.
Explore the Data Analyst track