Power BI Lesson 1 – Introduction to Power BI | Dataplexa

Power BI Course

I. Beginner Level
1. Introduction to Power BI 2. Business Intelligence Basics 3. Power BI Components 4. Installing Power BI Desktop 5. Power BI Interface 6. Getting Data from Files 7. Getting Data from Databases 8. Data Source Settings 9. Data Types 10. Basic Transformations 11. Model View Basics 12. Report View Basics 13. Page Navigation 14. Visualization Basics 15. Basic Charts
II. Power Query
16. Introduction to Power Query 17. Query Editor Layout 18. Applied Steps 19. Transform Rows & Columns 20. Grouping Data 21. Split & Merge Columns 22. Append & Merge Queries 23. Advanced Data Cleaning 24. Replace Errors 25. Data Formatting 26. Custom Columns 27. Conditional Columns 28. Date & Time Transforms 29. Parameters 30. Introduction to M Language
III. DAX
31. Introduction to DAX 32. DAX Syntax 33. Measures vs Columns 34. Common DAX Functions 35. Row & Filter Context 36. CALCULATE Function 37. Time Intelligence 38. Iterator Functions 39. Advanced DAX 40. DAX Best Practices
IV. Visualization & Service
41. Visualization Types 42. Visual Formatting 43. Slicers & Filters 44. Custom Tooltips 45. Bookmarks 46. Power BI Service 47. Workspaces 48. Sharing Reports 49. Refresh Schedules 50. Power BI Admin

Introduction to Power BI

Theoretical

Understand what Power BI is, how it works, and why it has become the go-to analytics tool for businesses worldwide.

Power BI at a Glance

Power BI is Microsoft's business analytics platform. It connects to your data — wherever it lives — cleans and shapes it, builds relationships between tables, and turns everything into interactive, live dashboards that update automatically when the underlying data changes.

Before tools like Power BI existed, most reporting happened manually. An analyst would pull data from multiple systems, stitch it together in Excel, build a chart, and email a static PDF. By the time a manager read it, the numbers were already outdated. Power BI eliminates that cycle entirely. You build the report once and it stays current.

Real World: A retail chain has sales data in SQL Server, inventory in Excel, and foot traffic data from a third-party API. Instead of three separate reports updated manually each week, Power BI pulls all three sources together into one live dashboard — visible to every store manager from any device, always up to date.
Did You Know? Microsoft ships a new version of Power BI Desktop every single month. That level of update cadence is genuinely rare for enterprise software — it means the product evolves rapidly and new capabilities land constantly.

The Three Stages of Every Report

No matter how simple or complex your report is, it always moves through the same three stages. Understanding this pipeline early is the single most important mental model in the entire course.

🔌
Get & Transform
Connect to your sources. Clean, filter, reshape and prepare the data using Power Query.
→
🔗
Model the Data
Define how tables relate to each other. Write DAX measures for calculated metrics.
→
📊
Visualize & Report
Build your report pages — charts, KPIs, slicers, filters — and publish to your audience.
Common Mistake: Most beginners jump straight to building visuals before their data is properly cleaned or their model is correctly set up. This leads to wrong numbers that are very difficult to trace back and fix. Always work through the stages in order — the visual stage becomes far easier when the foundation is solid.

The Power BI Product Family

Power BI is not a single application — it is a suite of tools designed to cover different parts of the analytics workflow, from building reports to sharing them across an organization.

Tool Purpose Where It Runs
Power BI Desktop The main report-building app — connect data, model it, design visuals Windows app (free)
Power BI Service Cloud platform to publish, share, collaborate and schedule data refresh Browser
Power BI Mobile View and interact with published reports on any device iOS & Android
Power BI Gateway Bridges the cloud service to on-premises data sources for scheduled refresh Local server
Power BI Report Server On-premises version of Power BI Service for organizations that cannot use the cloud Local server
In This Course: The majority of this course is built inside Power BI Desktop. Power BI Service is covered in depth in the Visualization & Service section, where we handle publishing, workspaces, and refresh schedules.

Power BI and Excel

A lot of people come to Power BI already knowing Excel well, and the first question they ask is whether they still need it. The honest answer is yes — and that's actually a good thing.

Excel is still the right tool when you're doing a quick one-off calculation, building a financial model that needs cell-by-cell precision, or pulling together something small before a meeting. It's fast to open, incredibly flexible, and everyone on your team already has it. Nothing wrong with any of that.

Power BI becomes the better choice the moment your data starts to outgrow a spreadsheet. When you're dealing with hundreds of thousands of rows, pulling from three or four different systems, or building something that twenty people need to look at every morning — that's where Excel starts to struggle and Power BI hits its stride. The other big difference is that Power BI reports stay live. Once the connections are set up, the data refreshes automatically. You're not emailing a new file to anyone. You share a link once, and the numbers are always current.

Here's a practical way to think about the difference:

You're better off with Excel when... You're better off with Power BI when...
You need a quick answer from a small dataset and don't plan to reuse the report The same report gets rebuilt every week — and you're tired of doing it manually
You're building a detailed financial model where every formula and cell reference matters Your data lives in multiple places — a database, a spreadsheet, an API — and you need it all in one place
You need something fast for an internal meeting and don't have time to publish anything You need to share a report with a large group and want everyone to always see the same, current numbers
The person you're sending it to only needs to read it once The report needs to refresh on a schedule and stay accurate without anyone touching it

Most analysts end up using both tools at different points in the same workflow — Excel for exploration and ad hoc work, Power BI for the final report the business actually runs on day to day.

Where Power BI Fits in the Microsoft Ecosystem

One of the reasons Power BI is so widely adopted in businesses is that it doesn't exist in isolation. It plugs directly into the tools most organizations already use, which makes it much easier to get up and running quickly.

If your data sits in Excel or SharePoint, Power BI can connect to it directly. If your company runs on SQL Server or Azure SQL, Power BI treats those as first-class data sources with native connectors built in. Reports can be embedded inside Microsoft Teams so that dashboards live right next to the conversations your team is already having. And if your organization uses Azure for data storage or data engineering, Power BI integrates cleanly with Azure Data Factory, Synapse Analytics, and Databricks.

This tight integration is one of Power BI's biggest practical advantages. In organizations that run on Microsoft infrastructure, adding Power BI doesn't feel like adopting a completely new tool — it feels like switching on a part of the stack that was already there waiting.

Worth knowing: Power BI uses the same underlying formula engine as Excel's Power Pivot feature. If you've ever written formulas in Power Pivot, you'll find DAX in Power BI very familiar — the syntax and logic are nearly identical. That's not a coincidence. Microsoft designed them to work as part of the same family.

Quick Recap

Term Meaning
Power BI Desktop The free Windows application where you build all your reports
Power Query The built-in data cleaning and transformation engine inside Power BI
Data Model The structure of tables and relationships that sits behind your visuals
DAX Formula language used to write calculated measures and columns
Power BI Service The cloud platform where reports are published, shared and refreshed

✏️ Practice Questions

Practice 1: What is the name of the free Windows application where you build Power BI reports?

Practice 2: Which stage of the Power BI pipeline is responsible for cleaning and reshaping raw data?

Practice 3: Which Power BI tool bridges the cloud service to on-premises data for scheduled refresh?

🎯 Quiz

Quiz 1: Power BI was officially launched as a standalone product in which year?

Quiz 2: Which stage of the Power BI workflow involves defining relationships between tables?

Quiz 3: A team needs a live report refreshing daily from a database and shared with 50 colleagues. Which tool is the right fit?

Quiz 4: Power BI Mobile is available on which platforms?

Lesson Summary

  • Power BI connects to data, cleans it, models it, and turns it into live interactive reports.
  • Every report moves through three stages — Get & Transform → Model → Visualize.
  • The Power BI product family includes Desktop, Service, Mobile, Gateway and Report Server.
  • Power BI and Excel serve different purposes and are best used together.
  • Power BI Desktop is where you will spend most of your time in this course.

Next up — Business Intelligence Basics — where we look at what BI actually means and how Power BI fits into the wider data landscape.

Course Index Next →