Data Scientist Data Manipulation (SQL/Python) Interview Questions
Practice 550 real Data Manipulation (SQL/Python) interview questions for Data Scientist roles. From companies including Meta, Amazon, TikTok, Capital One, DoorDash.
"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"
"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"
"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."
"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."
"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."
"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."
"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."
"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."
"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."
"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."
"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."
"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."
"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Compute User Group Stories and Aggregate Story Engagement
user_story_engagement +---------+----------+------------+------------+-------+-------+ | user_id | story_id | story_type | created_at | views | likes ...
Calculate Cumulative Sum for Each Integer in Table
numbers +-----+ | num | +-----+ | 1 | | 2 | | 13 | | 14 | | 15 | +-----+ Scenario You have a table containing one integer per row; for each row...
Identify Users Interested in Group Video Calls
video_calls caller | recipient | ds | call_id | duration u1 | u2 | 2023-09-01| c100 | 320 u3 | u4 | 2023-09-01| c101 ...
Calculate Weekly Revenue and Order Count for Standard Deliveries
instacart_orders +----------+---------+---------+------------+---------+--------------+ | order_id | user_id | revenue | created_at | geo | delive...
Calculate Total Interactions for Each Product
Interactions +----------+-----------+------------+--------------+ | buyer_id | seller_id | product_id | interactions | +----------+-----------+-------...
Generate Friendship List with Acceptance Dates Using Pandas
friend_events | requester_id | accepter_id | request_date | accept_date | |--------------|-------------|--------------|-------------| | 1 |...
Analyze Recent Orders Dataset with Python/pandas
orders | order_id | user_id | price | created_at | |----------|---------|-------|------------| | 1 | 101 | 20.5 | 2024-01-01 | | 2 ...
Analyze and Clean European Ecommerce Sales Data
sales +----------+-------------+------------+---------+---------+----------------+ | order_id | customer_id | order_date | country | revenue | product...
Analyze Streaming Data with SQL for Monthly Trends
minute_streamed +---------------------+------------------+------------+--------------------+ | time_minute | streamer_username| category | c...
Find orders from bottom-quartile revenue restaurants
SQL Question You want to identify orders coming from restaurants whose total revenue is in the bottom 25th percentile. Assume the following tables: re...
Tiktok DS Interview Questions
Scenario: You are provided with two tables: minute_streamed and minute_viewed. The minute_streamed table records each minute of streaming activity, wh...
Compute ad impression conversion rates
You are given two tables for an ads product. Table: ad_impressions | Column | Type | Description | |---|---:|---| | impression_id | STRING | Unique id...
Analyze Pirated Theme Usage Impact
An e-commerce platform lets shops install marketplace themes. Some themes are paid, and a shop should have a valid purchase/license before using a pai...
Find top advertisers and cost per KPI
You are given three advertising campaign tables. Table: campaign_spend | Column | Type | Description | |---|---:|---| | date | DATE | Calendar date in...
Count unconnected posts and reactions
You are analyzing a newly launched feed feature intended to improve engagement by showing more unconnected content. Assume the following tables: - pos...
Count heavy callers in 7 days
This question evaluates proficiency in SQL-based data manipulation and analytics, covering joins between user and call records, aggregation and distin...
Write SQL for reply-based recipient metrics
You work on a social product and are given two tables. Assumptions (use these unless you state otherwise): - All timestamps are in UTC. - A “reply” is...
Compute High-Call Usage Rates
You are given two tables for a voice-calling product: users - user_id BIGINT - country_code STRING calls - call_id BIGINT - caller_id BIGINT - recipie...
Write SQL for seller and vehicle metrics
This question evaluates proficiency in SQL data manipulation, including joins, distinct counts, grouping and aggregation, filtering by date and catego...
Clean and Merge Housing Data
This question evaluates data cleaning, type coercion, robust merge operations, and missing-data imputation skills within tabular datasets, emphasizing...