Data / Analytics

You find meaning where others just see numbers. This path mixes logic with curiosity.

1 SQL and spreadsheets

Querying and shaping data with SQL and spreadsheet tools, the two formats almost every analysis starts from before any code gets involved.

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2 Analysis with Python

Pandas and Python for the analysis SQL alone doesn't cover cleanly — cleaning, transforming and exploring datasets programmatically.

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3 Professional level

A fuller data science workflow plus Tableau for turning findings into something a non-technical audience can actually read.

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