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Data Science
Hands-on data-science drills for filtering rows, mutating columns, polishing visuals, and building tiny models.
Filter a small campaign dataset until the signal is isolated.
Create a derived net-revenue column before comparing performance.
Turn the dataset into a sorted visual that makes the strongest signal obvious.
Remove noisy rows and choose the chart metric that answers the question.
Choose one feature, reserve holdout rows, and inspect the prediction.
Compare model output with transformed data before making a claim.