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."
Calculate Weekly CTR and Campaign-Specific CTR in SQL
AdEvents ad_id | campaign_id | event | view_id | event_date 1 | 10 | impression | 123 | 2023-11-07 1 | 10 | cli...
Determine Old vs. New Users' Shop Visibility Changes
SHOP_VISIBILITY_HISTORY +----------+----------------+---------------------+-------------------+---------+ | user_id | user_signup_dt | action_timesta...
Compute Daily Revenue by Creation Source
active_ads date | ad_id | advertiser_id | creation_source | revenue 2023-09-01 | 1001 | 17 | mobile_app | 150.00 2023-09-01 | 1...
Identify Top Spenders and Segment Customers Using Python
orders +----------+---------+------------+----------+--------------+-------------------+ | order_id | cust_id | order_date | product | order_amount |...
Explore Subscription Patterns and Status Transitions with SQL/Pandas
subscriptions +-----------------+---------+-------------+ | subscription_id | status | status_date | +-----------------+---------+-------------+ | 10...
Design SQL Query for Shop Visibility and User Activity Metrics
SHOP_VISIBILITY +----------+---------+------------+------------+-------------+--------------+ | user_id | shop_id | event_date | is_visible | signup_...
Calculate Total Spend and Identify Key User Metrics
Transactions +----+---------+--------+------------+ | id | user_id | amount | date | +----+---------+--------+------------+ | 1 | 101 | 23....
Analyze Recent Post Performance Using SQL Queries
INFO_STREAM_VIEWS +---------+-----------+--------------+----------+------------+ | post_id | viewer_id | relationship | duration | ds | +-----...
Consolidate and Rank Global Salaries in USD
employees_us +---------+----------+--------+---------+ | emp_id | name | salary | country | +---------+----------+--------+---------+ | 1 |...
Calculate Survey Response Rate and Quality Metric in SQL
survey_responses +---------+----------+---------------------+---------------------+-------+ | user_id | survey_id| impression_ts | click_ts ...
Compute Shop Visibility Rate Using SQL and Python
shop_events | event_id | shop_id | user_id | event_type | event_time | | 1 | 101 | 1001 | view | 2023-07-01 10:05:00 | | ...
Calculate Adoption and Transaction Rates, Identify Cross-Region Sales
user_txn +---------+-------------+------------+---------------+------------------+---------------------+ | user_id | user_region | adopted_at | transa...
Analyze Recent Calling Behavior in France Using SQL
CALLS +---------+---------+---------------------+-------------------+----------+ | call_id | user_id | call_start_time | participant_cnt | is_vi...
Identify Unique Callers and French Customer Call Percentage
video_calls +---------+-----------+--------------+---------------------+---------------+ | call_id | caller_id | recipient_id | start_ts | ...
Analyze User Engagement Metrics for Video-Calling App
Calls +--------+-----------+------------+---------+----------+ | caller | recipient | ds | call_id | duration | +--------+-----------+--------...
Analyze Transaction Flow and User Engagement Efficiently
transactions +---------------+-------------+------------+--------+ | transaction_id| from_user_id| to_user_id | amount | +---------------+------------...
Generate Weekly Revenue and Engagement Summary with Pandas
events | user_id | event_time | event_type | platform | revenue | |---------|---------------------|------------|----------|---------| | 101 ...
Clean and Aggregate Transactions for Finance Dashboard
transactions id | user_id | amount | timestamp | category 1 | 1001 | 19.99 | 2023-01-01 09:00:00 | grocery 2 | 1001 | 5.50 | 2023...
Analyze User Purchase Behavior in Online Marketplace Data
user_events +----------+------------+---------------------+-------------+ | user_id | event_type | event_timestamp | product_id | +----------+--...
Calculate Total Interactions for Each Product
Interactions +----------+-----------+------------+--------------+ | buyer_id | seller_id | product_id | interactions | +----------+-----------+-------...