Data Scientist Data Manipulation (SQL/Python) Interview Questions
Practice 530 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 leakage-safe rolling features in pandas
Using pandas on a 50M-row monthly panel with columns [loan_id, msa, month, property_type, delinquent_90dpd (0/1), upb], create features for each loan-...
Write advanced SQL for sales support analytics
Write SQL for the following schema and tasks. Assume ANSI SQL with DATE_TRUNC and INTERVAL supported. Sample tables (minimal rows shown). accounts +--...
Create Views, Insert, and Update Correctly
Treat “today” as 2025-09-01. Use the schema and sample data below to write SQL for each part. Schema: customers(cust_id INT PRIMARY KEY, name TEXT, re...
Compute churn metrics and rank top students
You have two tasks. Part A (R): You receive a Customers CSV with columns: id (INT), signup_date (YYYY-MM-DD), last_active_date (YYYY-MM-DD), churned (...
Compute CTR by format for new US users
You are given three tables. Write a single SQL query to compute click-through rate (CTR) by pin_format for NEW users in the US, where NEW users are th...
Create SQL Queries for Sales and Customer Analysis
SALES +----------+----------+------------+------------+----------+---------+ | sale_id | store_id | product_id | sale_date | quantity | revenue | +-...
Retrieve Top Five Ads by Conversions in 30 Days
ads ad_id | advertiser_id | created_at 1 | 101 | 2024-06-01 2 | 102 | 2024-06-03 3 | 101 | 2024-06-10 ad_i...
Analyze Posting Behavior by Cohort and Date
creator_post +------------+---------+------+ | post_date | user_id | post | +------------+---------+------+ | 2023-01-01 | 111 | 1 | | 2023-01...
Explain MySQL to MS SQL Server query syntax differences.
transactions | id | user_id | amount | txn_date | |----|---------|--------|----------| | 1 | 1001 | 25.00 | 2023-07-01 | | 2 | 1002 | 40.00 ...
Compute User Retention and Analyze Event Data
user_events +---------+---------------------+------------+-------+ | user_id | event_time | event_type | page | +---------+-----------------...
Identify Transactions During 'Golden' Membership Period
transaction +-----------+---------+------------+---------+ | trans_id | user_id | trans_date | amount | +-----------+---------+------------+--------...
Calculate Monthly Conversion Rate and Average Order Value
page_views +-----------+---------+---------------------+ | user_id | page_id | view_timestamp | +-----------+---------+---------------------+ |...
Calculate Distinct High-View Posts and Spam View-Prevalence
content_views | user_id | post_id | view_count | view_date | | 101 | 572 | 3 | 2021-11-01 | | 102 | 732 | 5 | 2021-1...
Calculate Conversion Rate from Ad Clicks to Page Visits
user_events | user_id | event_time | event_type | ad_id | |---------|----------------------|------------|-------| | 1 | 2023-01-01 10:...
Calculate Monthly Revenue from Orders in 2023
orders | id | order_date | customer | |----|------------|----------| | 1 | 2023-01-03 | 101 | | 2 | 2023-02-14 | 102 | | 3 | 2023-02-20 | 101 | o...
Derive Key Business Metrics Using SQL or Python
Orders +----------+-------------+------------+---------+------------------+ | order_id | customer_id | order_date | amount | product_category | +----...
Determine Growth of Pirated Theme Installations Over Years
merchants +-------------+------------+ | merchant_id | join_date | +-------------+------------+ | 1 | 2020-01-02 | | 2 | 2020-03-...
Calculate Average Event Value by User ID
events +----+---------+------------+-------+---------------------+ | id | user_id | event_type | value | timestamp | +----+---------+-------...
Compute User Group Stories and Aggregate Story Engagement
user_story_engagement +---------+----------+------------+------------+-------+-------+ | user_id | story_id | story_type | created_at | views | likes ...
Calculate Recent Post Views and Reactions for Social Media
info_stream_views +---------+-----------+--------------+----------+------------+ | post_id | viewer_id | relationship | duration | ds | +-----...