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Interview Preparation Video Tutorials

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Data science

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Data Science Interview: Conversion Dropped—Blame Checkout?

Avoid a product data science interview pitfall: blaming a checkout release solely on the total conversion rate. Define and validate the account-level metric, separate returning and first-time visitors, and reweight prior rates with the recent audience mix. The fictional example yields 17% to 11% from mix and a further 0.6 percentage-point within-group change to 10.4%. This is descriptive arithmetic, not proof of cause. Investigate missing returning traffic and first-time decline; a confirmed checkout failure would justify mitigation.

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SQL Joins Can Triple Your Totals — Fix This Interview Mistake

A SQL interview lesson for data science and analyst candidates: avoid join mistakes by summarizing orders and tickets per customer before combining them. Test equal-priced orders and customers without activity.

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