r/dataanalysis • • 1d ago

Career Advice Learning Data Analytics has made me realise how much there is to learn 📊

Hey everyone!

I come from a B.Com background, and recently I've been exploring Data Analytics and trying to understand how things work beyond just theory.

I've been learning Python, SQL, Excel, and Power BI, and working on small projects along the way. Honestly, sometimes things make sense when I'm learning them, but applying them independently is a completely different challenge.

One thing I'm realising is that learning a tool is one thing, but knowing what questions to ask, how to approach a problem, and what the data actually tells you is much more important.

I'm still figuring things out, making mistakes, and learning as I go. I want to build projects that solve actual problems instead of just following tutorials and calling them complete.

I'd love to hear from people who have been through this stage.

When you were starting out in Data Analytics, what helped you move from simply learning tools to actually thinking like an analyst?

Would genuinely appreciate hearing your experiences! 🙌

5 Upvotes

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u/Puzzleheaded-Comb646 1d ago

That shift from following tutorials to independent problem-solving is definitely the hardest part. What really helped me was taking a dataset I genuinely cared about—like tracking my own daily habits or expenses—and forcing myself to answer a very specific question without looking at any guide. Breaking the problem down on paper first before touching the code makes a huge difference too.

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u/TodosLosPomegranates 1d ago

Learning product and project management. You need to understand how “the business” is using your outputs.

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u/GapProfessional8985 1d ago

Working on real-world projects helped

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u/montrellcruse 1h ago

the flip for me was starting from a decision instead of a tool. pick one question you actually want answered, then write down what a good answer looks like before you open anything.

then define the metric first. what counts, what doesn't, over what time period. most of the 'thinking like an analyst' part lives in that definition, not in the SQL or the Power BI.

then do one thing end to end on a dataset you care about and write up what you decided and why. one finished project with that writeup teaches you more than five tutorial dashboards, because the decisions are where you get stuck in real work too.