Specialization Track

Data Science & Analytics Interview Questions & Answers

Statistical modeling, hypothesis testing, feature engineering, SQL data pipelines, and exploratory data analysis.

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A dashboard shows revenue rose 20%. What would you check before calling it business growth?

Verify the revenue definition, currency conversion, reporting timezone, returns, taxes, and whether the period is complete. Compare equivalent periods and account for seasonality, acquisitions, price ...

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Why can an overall conversion rate improve while conversion falls in every major segment?

This can happen when the mix shifts toward segments with higher baseline conversion, an example of Simpson’s paradox. Suppose both mobile and desktop conversion decline, but a larger share of traffic ...

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How would you design an A/B test for a new signup page?

Define the primary outcome, meaningful effect size, guardrail metrics, randomization unit, and planned duration before launch. Randomize eligible users consistently, avoid counting repeated visits as ...

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Two datasets disagree about active customers. How would you reconcile them?

Agree on a precise definition of active customer, including date window, timezone, account status, and treatment of trials or deleted accounts. Compare source lineage, refresh times, identity mappings...

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