[Python] What is a practical roadmap for getting started with data analysis as a beginner with...

**Hi everyone,

I'm from a non-technical background (Management student), but I've recently started learning Python and I'm very interested in becoming a data analyst.

I know some basic Python, and I want to know:

What is a practical step-by-step roadmap to become a data analyst?

Which tools and libraries should I learn first (e.g., Excel, Pandas, SQL, Power BI)?

Are there any beginner-friendly projects I can build to learn hands-on?

How can I transition from basic Python to analyzing real-world datasets?

How much math/statistics do I need to start with?

Any advice, resources, or project ideas would be greatly appreciated!

Thanks **

I started with Python basics using online tutorials (like W3Schools and freeCodeCamp). Then I explored Pandas and tried analyzing small CSV datasets, like sales data. I expected to be able to understand how data analysts work with real-world datasets, but I’m still confused about which tools to focus on and how to structure my learning. I also tried Power BI but got lost in the interface without understanding the workflow.

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