Coursera Data Scientist Interview Questions
The questions to prepare for a Coursera Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Describe an A/B test you ran, what question it answered, how you measured success, and what you learned from the results.
Explain what a p-value means in hypothesis testing and how it relates to statistical significance.
Evaluates product sense and analytical reasoning around experimentation constraints.
Calculate user revenue running totals and daily rankings using PostgreSQL window functions.
Diagnose a below-expectations product metric drop using decomposition, guardrails, and experiment checks.
Assesses machine learning foundations and model selection criteria.
Tests system design and ML approach for a Coursera-scale search feature.
Assesses technical fundamentals and practical tooling choices for data work.
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Calculate each user's running order total over time using a window function.
Bayer
Sparksoft
Western DigitalSummarize annual user engagement with a left join, aggregation, and NULL-safe duration handling.
NBCUniversalCCoursera
Meta Platforms