Power BI Tutorials

Data is everywhere in every organization. The problem is never a lack of data — it’s making sense of it quickly enough to actually do something useful with it.

That’s exactly what Power BI is for.

I’ve been working with Power BI for years, helping organizations transform their raw SharePoint lists, Excel files, SQL databases, and cloud services into clear, interactive dashboards that tell a real story. The tutorials on this page are everything I’ve learned along the way — broken down into practical, step-by-step guides that are written for real people, not textbooks.

Whether you’ve never opened Power BI before or you’ve been building reports for a while and want to go deeper into DAX and data modeling, you’ll find something useful here.

What Is Microsoft Power BI?

Power BI is Microsoft’s business intelligence and data visualization platform. It lets you connect to virtually any data source, transform and shape the data the way you need it, build interactive reports and dashboards, and share them with your team — all without needing to be a data scientist or a developer.

It’s part of the Microsoft Power Platform, which means it works hand-in-hand with Power Apps, Power Automate, and SharePoint. A SharePoint list you’re already using can become a live, visual dashboard in Power BI in less than 10 minutes.

Power BI comes in three main pieces:

Power BI Desktop — a free Windows application where you build and design your reports. This is where most of the work happens
Power BI Service — the online version at app.powerbi.com, where you publish, share, and collaborate on reports with your team
Power BI Mobile — apps for iOS and Android that let you view and interact with reports on the go

Most tutorials on this page will focus on Power BI Desktop for building, and Power BI Service for sharing — since that’s the combination most people use day to day.

Who Are These Tutorials For?

Complete beginners who have never opened Power BI and want to understand what it is and how to get started
SharePoint users and administrators who want to build dashboards from their SharePoint list data
Business analysts who are currently building reports in Excel and want to move to something more powerful and easier to share
Power Platform developers who already work with Power Apps and Power Automate and want to add reporting to the mix
Intermediate Power BI users who know the basics but want to go deeper into DAX, data modeling, and report design best practices

I write every tutorial assuming you’re smart but new to the tool. I don’t skip steps, and I don’t assume you already know things I haven’t explained yet.

How Power BI Works — The Mental Model

Before you start building reports, it helps to understand the three stages that almost every Power BI project goes through:

Stage 1: Connect and Transform (Power Query)
You connect to your data source — SharePoint, Excel, SQL Server, a web API, whatever it is — and use Power Query to clean and shape it. This means removing unnecessary columns, fixing data types, renaming fields, merging tables, and turning messy raw data into something structured and reliable.

Stage 2: Model the Data
Once your data is clean, you define the relationships between your tables (like a list of orders connecting to a list of customers via a customer ID). You also write DAX measures here — calculations like “Total Sales This Month,” “Year-over-Year Growth,” or “Percentage of Target Met.”

Stage 3: Build the Report
With clean, modeled data, you build visuals — bar charts, line charts, tables, maps, cards, slicers — and arrange them on report pages. You add filters, drill-throughs, and interactivity so users can explore the data themselves.

That three-stage flow — Connect → Model → Report — is the foundation of everything in Power BI.

The Key Concepts You’ll Encounter

Datasets and Semantic Models
In Power BI, your data lives in a dataset (now also called a semantic model). It contains your tables, relationships, and DAX measures. Reports are built on top of a dataset.

DAX (Data Analysis Expressions)
DAX is Power BI’s formula language. It looks a little like Excel formulas but it works differently — it’s designed for working with tables and relationships rather than individual cells. You’ll use it to create calculated columns and measures. Don’t let it intimidate you — I’ll walk through it step by step.

Power Query (M Language)
Power Query is the data transformation engine inside Power BI. You interact with it through a visual interface most of the time, but it generates code behind the scenes in a language called M. You rarely need to write M directly — but knowing it exists helps when the visual tools reach their limit.

Reports vs Dashboards
These two words get used interchangeably outside Power BI, but they mean different things inside it. A report is what you build in Power BI Desktop — multi-page, interactive, with slicers and drill-through. A dashboard is a single-page collection of “pinned” tiles from one or more reports, created in Power BI Service. Reports are where the detail lives; dashboards are for at-a-glance monitoring.

DirectQuery vs Import
When you connect to a data source, you can either import the data (it gets copied into Power BI and refreshes on a schedule) or use DirectQuery (every interaction queries the source live). Import is faster for most scenarios. DirectQuery is better when you need real-time data or the dataset is too large to import.

What You’ll Learn in These Tutorials

I add new tutorials to this page regularly. Here’s the kind of content you can expect:

Getting Started

What is Power BI and how does the whole ecosystem fit together
Downloading and setting up Power BI Desktop
Connecting to your first data source and building a basic report
Understanding the Power BI interface — fields, filters, visualizations, and format panes
Publishing a report to Power BI Service and sharing it with others

Connecting to Data Sources

Connect Power BI to a SharePoint list (step by step)
Connect to Excel files and CSV files
Connect to SQL Server and Azure SQL
Connect to Microsoft Dataverse
Connect to web data and REST APIs
Using parameters to make your connections dynamic

Power Query — Cleaning and Transforming Data

Removing columns, renaming fields, and changing data types
Filtering rows and removing duplicates
Merging queries — combining data from two tables like a VLOOKUP
Appending queries — stacking multiple tables into one
Using conditional columns to add logic during transformation
Splitting and combining text columns
Pivoting and unpivoting data

Data Modeling

Understanding relationships — one-to-many, many-to-many, and bidirectional
Building a proper star schema model
Creating calculated columns vs measures — when to use each
Using hierarchies for drill-down in visuals
Managing date tables for accurate time intelligence

DAX — From Basics to Advanced

What DAX is and how it differs from Excel formulas
SUM, COUNT, AVERAGE, MIN, MAX — the building blocks
CALCULATE — the most important DAX function, explained clearly
FILTER and ALL — controlling filter context
Time intelligence functions: TOTALYTD, SAMEPERIODLASTYEAR, DATEADD
Variables in DAX — making your formulas readable
Common DAX patterns: running totals, percentage of total, rankings

Building Reports and Visuals

Choosing the right visual for the right data
Building bar charts, line charts, tables, and matrix visuals
Using slicers and filters to make reports interactive
Drill-through pages — letting users click into detail views
Conditional formatting — color coding values based on rules
Bookmarks and buttons — creating navigation and toggle effects
Mobile layout — optimizing reports for phone viewing

Sharing and Publishing

Publishing from Power BI Desktop to Power BI Service
Setting up scheduled data refresh
Sharing reports with colleagues
Creating and sharing dashboards
Row-level security — controlling who sees which data
Embedding Power BI reports in SharePoint pages

Power BI + SharePoint Integration

Display a Power BI report inside a SharePoint modern page
Connect a Power BI report to a SharePoint list with live refresh
Use SharePoint as a data source for operational dashboards
Filter a Power BI report based on the SharePoint page context

A Few Things That Will Make You Better Faster

1. Learn Power Query before DAX
Many beginners jump straight into building visuals, only to hit a wall when their data isn’t properly shaped. Spend time in Power Query first. Clean, well-structured data makes everything else easier — including DAX.

2. Build a proper date table
If your reports involve any time-based analysis (which most do), you need a dedicated date table in your model. Power BI’s built-in auto date/time feature works for simple cases but causes problems as your model grows. I’ll cover how to build a proper date table in the tutorials.

3. Measures over calculated columns — almost always
This trips up almost every beginner. Calculated columns store a value for every row in a table (expensive on memory). Measures calculate dynamically based on the current filter context (efficient and flexible). Once you understand the difference, your models will be much cleaner.

4. Don’t try to make one report do everything
The best Power BI reports are focused. A single report that tries to answer 40 business questions for 6 departments ends up answering none of them well. Start with one clear question and build around it.

Here are the list of Power BI tutorials.