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."
Posts and Replies Engagement
Posts and Replies Engagement A content platform stores user-generated posts and the replies that those posts receive. You need to answer two questions...
Write Queries for Pinterest Engagement Tasks
You are given several data-manipulation tasks based on Pinterest-style product data. Use UTC for all timestamp-to-date conversions unless stated other...
Find multi-account buckets and unread rate
You are analyzing a product in which one user can own multiple accounts. Use the following schema: Table: accounts - account_id BIGINT - user_id BIGIN...
Write SQL for Pixel Signal Metrics
You are working on Meta Ads Pixel analytics. Assume all timestamps are stored in UTC, and analyze the last 30 complete calendar days. Tables 1. advert...
Convert Dictionary to DataFrame
Using Python and pandas, convert the following dictionary into a DataFrame. Each top-level key is a target column name, and each value is a list of [r...
Write SQL using HAVING and window functions
This question evaluates SQL data manipulation competency, focusing on aggregation filtering with HAVING and the use of window functions for running co...
Compute per-coin quarterly amounts and totals
Problem (SQL: Conditional Aggregation) You have two tables: coins - coin_id INT PRIMARY KEY - name VARCHAR transactions - id BIGINT PRIMARY KEY - coin...
Calculate Pirated Usage and Revenue Loss
You are analyzing theme piracy on an e-commerce platform. Assume the analysis window is 2023-01-01 through 2023-12-31, all timestamps are stored in UT...
Compute reply-based engagement metrics
You work on a microblogging app (Twitter-like). Posts and replies are stored in the tables below. Tables all_post - post_id BIGINT PK - post_author_id...
Write queries to compute salary and budget stats
You are given the following interview tasks. Write solutions in SQL and/or Python (pandas) as appropriate. Task 1 — Second highest salary You have a t...
Device Status without Timestamps
Table: article_views article_id INT author_id INT viewer_id INT view_dt DATE Count authors who have never viewed any of their own articles. On 20...
Write conditional aggregation SQL queries
Question Write an SQL query to compute the total amount for rows satisfying a condition, comparing approaches that use SUM(CASE WHEN … THEN … END) ver...
Calculate and Compare Survey Response Rates for User Tenure
Surveys +--------+------------+--------------+----------+ | userid | date | survey_event | response | +--------+------------+--------------+----...
Analyze Seller Activity and Vehicle Listing Interactions
Analyze Seller Activity and Vehicle Listing Interactions listing_interaction +-----------+-----------+------------+------------+----+ | buyer_id | se...
Analyze Mobile Promo Orders with SQL Query and Metrics
orders +-----------+---------+--------------+------------+-----------+----------+ | order_id | user_id | order_amount | order_date | is_mobile | is_p...
Compute and Rank Store Revenue by Region Using Pandas
Sales +------------+---------+------------+--------+---------+ | date | store_id| product_id | units | revenue | +------------+---------+------...
Identify Transactions During 'Golden' Membership Period
transaction +-----------+---------+------------+---------+ | trans_id | user_id | trans_date | amount | +-----------+---------+------------+--------...
Derive Key Business Metrics Using SQL or Python
Orders +----------+-------------+------------+---------+------------------+ | order_id | customer_id | order_date | amount | product_category | +----...
Calculate Medical Claims by Age and Gender in 2024
MEMBERSHIP +----+----------+--------+---------+ | id | age_band | gender | zipcode | +----+----------+--------+---------+ | 1 | 18-25 | F | 9...
Compare WHERE vs HAVING with aggregates
Compare WHERE vs HAVING with aggregates Filter groups based on an aggregate and explain WHERE vs HAVING. Provide a query that returns merchants with c...