
Certified Data Analyst | SQL β’ PowerBi β’ Excel Bsc. Food Science & Technology π§: [email protected]
Joined December 2025
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Your first analysis won't be perfect. Neither will your Fifth!!
Stop trying to be perfect and just put it out here!
7. Your first dashboard will be bad, and thatβs normal
Mine was. Everyoneβs is. Build it anyway, post it, then make the next one better.
5. Use whatever gets the job done well, not whatever is trending.
6. Learning the tool is the easy part. You can learn Power BI in a few weeks. Knowing what question to ask and what the answer actually means takes much longer.
1. You donβt need 10 certificates to land your first job
2. More charts doesnβt mean more insight.
3. The tool matters less than the questions you ask.
4. Cleaning data is most of the job
6 questions to ask before you start any analysis
Most bad analysis comes from starting without the right questions.
Check threadππ½
6. Whatβs the scope and timeframe?
Which region, which period, which customers? If you donβt set the boundaries early, the analysis keeps growing and nothing gets finished.
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5. What do we already believe?
Most people start with a guess about what the data will show. Ask what it is, so you can test it honestly instead of just confirming it.
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4. What data do we actually have?
Check whatβs available, how clean it is, and whatβs missing before you promise anything. Itβs better to flag a gap on day one than on deadline day.
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3. What does βsuccessβ actually mean?
βImprove salesβ can mean revenue, number of orders, or new customers. Agree on the exact metric first, so youβre not arguing about it after the work is done.
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2. Who is this for?
A manager who wants a quick yes or no needs something different from a team that wants to dig into details. Know whoβs reading before you build anything.
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1. What decision will this help make?
If nobody can say what theyβll do with the answer, pause. An analysis with no decision behind it usually ends up as a report nobody reads.
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6 storytelling mistakes killing your data presentations
Good data doesn't guarantee a good story. Here's what quietly kills the narrative.
Check threadππ½

