3 SQL practice questions in our Netflix collection, part of our 188-question bank across 23 companies. Write SQL against practice datasets and get checked in your browser. Free, no card or trial.
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Identify active members who watched more than 50 hours of content during March 2026. Return member_id, subscription_type, country, and total_hours (rounded to 2 decimal places), sorted by total_hours in descending order.
Calculate the average rating and number of ratings for each show by month. Return title_name, year_month (formatted as YYYY-MM), avg_rating (rounded to 2 decimals), and rating_count. Only include show (not movie) content. Filter to months/shows with at least 10 ratings. Order by year_month descending, then avg_rating descending.
Analyze content completion rates by genre and subscription type. A view is considered 'completed' if minutes_watched is at least 90% of the title's total_duration_minutes. Return genre, subscription_type, completion_rate (percentage, rounded to 2 decimals), total_views, and completed_views. Only include genre/subscription combinations with at least 100 total views. Order by completion_rate in descending order.
3 Netflix problems, each with its own dataset. Click one and you’re in the workspace, free, right in your browser.
Your dataset
viewing_id (INTEGER) · member_id (INTEGER) · title_id (INTEGER) · start_time (TIMESTAMP) · minutes_watched (INTEGER) · device_type (VARCHAR)
member_id (INTEGER) · subscription_type (VARCHAR) · account_signup_date (DATE) · country (VARCHAR) · is_active (BOOLEAN)
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Practice Netflix SQL free188 SQL practice questions. 23 companies. Free access to every problem.