SQL & Data Interview Questions

Practice the most common SQL, Statistics, ML, and Python questions asked in FAANG Data Science & Data Analyst interviews!

Company	Title	Category	Difficulty
Facebook	Active User Retention	SQL	Hard
Wayfair	Y-on-Y Growth Rate	SQL	Hard
Amazon	Maximize Prime Item Inventory	SQL	Hard
Google	Median Google Search Frequency	SQL	Hard
Facebook	Advertiser Status	SQL	Hard
McKinsey	3-Topping Pizzas	SQL	Hard
Facebook	Product vs. Square	Statistics	Hard
Robinhood	Modeling User Churn	Machine Learning	Hard
Stripe	Repeated Payments	SQL	Hard
Google	Minimum of Two Uniform Variables	Statistics	Hard
Microsoft	Frequentist vs. Bayesian	Statistics	Hard
Amazon	Server Utilization Time	SQL	Hard
FAANG	Department vs. Company Salary	SQL	Hard

Your Progress

Easy

0/34

Medium

0/29

Hard

0/13

Tags

Percentage Calculations7

Joins11

Array Functions1

bball0

Date-Time Functions13

Mathematical Functions9

fun-run0

Aggregate Functions36

Ace the Data Science Interview15

Data Type Conversion13

Data Generation Functions0

Window Functions12

The-Office-SQL0

Set Operations2

Null Handling5

Conditional Expression17

Top N Results6

Control Flow Functions1

Arithmetic Operators3

Existence Check3

Conditional Logic11

Common Table Expressions (CTE) or Subquery17

String Functions2

Distinct and Unique Handling9

User Behavior6