Power BI has been my bread and butter as a data analyst.
You can accomplish A LOT in this tool, and I’m not just talking about the visuals.
I think it’s something every analyst should take the time to learn.
But with so many courses and tutorials out there, it can be difficult to know exactly what you should prioritize in your learning journey, and why.
Most people get stuck with the basics and never go beyond.
They think cool dashboards are the goal. But in reality, they’re simply the icing on the cake.
In this article, I’m going to lay out a roadmap for what you should learn and it what order to help give you confidence that you’re building the right way.
We’ll cover:
Power BI Basics: Building a foundation
Data Modeling: The key to smart analysis
DAX (Data Analysis Expressions): Taking your analysis further
Data Transformation with Power Query: Preparing your data
Visualization Best Practices: Creating effective reports
Publishing and Sharing: Administering the Power BI Service
Optimizing Performance: DirectQuery and hybrid models
Integrations and Automations: Extending Power BI’s capabilities
Let’s dive into each step to understand why it’s important, how to approach it, and what you should focus on for long-term success.
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