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Netflix Interview Problems (45)

Problems reported from Netflix data science interviews

Status Title Difficulty
Mentoring Junior Data Scientists Pro Medium
Multiple Aggregations with HAVING Pro Medium
Pivot Table Pro Medium
Statistical Power Pro Medium
Beta Distribution Applications Pro Hard
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Bonferroni Correction and Multiple Testing Pro Hard
CASE WHEN for Dynamic Sorting and Bucketing Pro Hard
Cohort Retention Rate With CTEs Pro Hard
Collaborative Filtering Cold Start Pro Hard
Experiment Design for ML Pro Hard
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Grouping with Rollup-style Totals Pro Hard
K-Nearest Neighbors Pro Hard
Log Loss as Evaluation Metric Pro Hard
Month-Over-Month Revenue Change Pro Hard
Multi-Step Funnel Analysis With CTEs Pro Hard
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Permutation Test Mechanics Pro Hard
Running Total of Order Amounts Per Customer Pro Hard
Survival Analysis Censoring Pro Hard
Time Series Resample Pro Hard
Top Spending Customer Per Product Category Pro Hard
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