Data Science Interview Prep

Land your dream data science role at Google, Amazon, Microsoft, Meta, Apple, and other top companies. Learn from mock interviews, frameworks, and advice from senior candidates. Practice statistics, experimentation, coding, SQL, machine learning, behavioral interviews, and more.

Top data science interview questions and answers

Coding exercises and AI feedback

Full-length mock interviews & walkthroughs

4.8/5

5,300+ students

Updated Aug 2026

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Taught by

Apurvaa SubramaniamData Scientist, Instacart, Amazon

Shreyas LakhtakiaSenior Data Scientist, AI, Stanford, BCG

Angelica C.ML Engineer, Google

Tyler ShangSenior Data Science Manager, Tinder

Joshua BernhardDirector of Data, Intuit, Houzz

WeiChun ChangData Scientist, Houzz

Dmitri MirakyanProduct Data Science, Opendoor

Jimmy WuML Engineer, Amazon

Aazel T.Data Science Intern, Meta

Featured videos

Start with a free lesson, then unlock all 63 video lessons.

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Types of Data Science Roles

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Design Campaign Experiment and Success Metrics

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Implement a 2D Convolutional Filter

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What you'll find in this course

8 courses

63 videos

60 hours

Data Scientist Interviews Introduction

3 lessons

1 video

Welcome to our Data Science Interview Course!

Free

Types of Data Science Roles

Free

The Data Science Interview Loop

Statistics and Experimentation Questions

8 modules

77 lessons

23 videos

Understand what types of statistics questions are asked in data science interviews and what interviewers are looking for. Review fundamental statistics concepts through concise refresher lessons. Learn how to design A/B and hypothesis tests in interviews.

Introduction to Statistics and Experimentation Questions

Rubric for Statistics and Experimentation Questions

How to Answer Data Preprocessing and Quality Questions

Descriptive Statistics

Normalization vs. Standardization

Introduction to Probability Questions

Free

How to Answer Probability Questions

Probability Concepts

What is a P-value?

Calculate Expected Cost of Coupon Usage

Calculate Conditional Probability (Bayes Theorem)

Calculate Probability of a Fair Coin

Introduction to Regression Questions

Free

Linear Regression Concepts

Logistic Regression Concepts

How to Answer Regression Questions

Select Input for Modeling When Handling Multicollinearity

Gradient Descent and Model Optimization

Advantages and Limitations of Linear Regression

Modeling Linear Regression

R-Squared, Multicollinearity, and Statistical Tests

Introduction to Hypothesis Tests and Confidence Intervals Questions

Free

How to Answer Hypothesis Test Questions

How to Calculate Confidence Intervals

Define Confidence Level in Confidence Interval

Introduction to Power Analysis and Impact Sizing

Free

How to Answer Impact Sizing Questions

How to Answer Power Analysis Questions

Determine Sample Size

Calculate Revenue from New Vertical Expansion

Introduction to Experimentation Questions

Free

How to Answer A/B Testing Questions

Alternatives to A/B Testing

Design Campaign Experiment and Success Metrics

Design A/B test for New Campaign

Design A/B Testing Alternatives

Design Test for Stories Reaction Feature

Design Test for Driver Matching Algorithm

Increase Sales through A/B Testing

Adjust P-value Threshold

Faster A/B Testing and Statistical Significance

A/B Testing Email Campaign

Analyze A/B Test Results for Checkout

T-test Assumptions and Alternatives

Standard Deviation vs Range

Power vs. Confidence Level

Expectation of Variance

Checking Random Assignment in A/B Testing

What is A/B testing

Statistical Background behind Power

Type I vs. Type II Error

Multiple t-tests

Covariance vs. Correlation

Common Pitfalls of A/B Testing

Explain Confidence Interval

Central Limit Theorem and its Usefulness

Z and T-tests

Hypothesis Testing and p-values

Hypothesis Testing for Coin Flip

Hypothesis Testing for Amazon

Distribution of Daily Minutes on Facebook

Search Distribution

Correlation and Outliers

False Positive Distribution

Biased vs Unbiased Estimator

Statistical Significance vs Practical Significant

Sampling Distribution in Inferential Statistics

Novelty and Primary Effects in Experiments

Non-Normal Distribution

Network Effects in A/B Testing

What is A/B testing and when should it be used?

Verifying Random A/B Testing Groups

Data Communications Questions

2 modules

7 lessons

3 videos

2 hours

Learn how to present and communicate results effectively in any data science or analytics interview round. Understand how to solve ambiguous interview questions through effective communication, specifically for case studies, past project presentations, and take-home assignments.

How to Present Past Projects

Present a Past Project 1

Present a Past Project 2

Present a Past Project 3

Introduction to the Take-home Assignment

Free

How to Create a Take-home for Defined Tasks

How to Create a Take-home for Open-ended Tasks

Python Coding Questions for Data Scientists

2 modules

18 lessons

2 videos

Master Python coding interviews focused on data science by exploring advanced data manipulation with Pandas and conducting statistical analysis and experiments. Gain proficiency in handling and transforming datasets, performing thorough statistical tests, and designing experiments with Python. Perfect for those looking to excel in technical interviews that assess data handling and analytical skills.

Lowest Earning Employees

Easy

Unsold Products

Easy

SQL Interviews

9 modules

98 lessons

6 videos

Prepare for SQL interviews by practicing syntax basics, aggregations, and window functions. Learn how to manipulate data, write complex queries, and analyze information from diverse data sets.

Introduction to SQL and Its History

Free

How to Answer SQL Interview Questions

Relationships and Relational Database Concepts

How to Prep SQL Interviews Fast

Free

SQL Interview Patterns

Free

SQL Interview Test Questions

Free

Joins & Duplicate Control

Free

Window Functions Essentials

Free

Grouping, Having, Conditional Aggregation & NULL-Safe Metrics

How to Perform in a SQL Interview

Free

Basic SQL Syntax

The WHERE Clause

Logical operators: AND, OR, NOT

Querying Missing Values with IS NULL and IS NOT NULL

Sorting data with ORDER BY

Using LIMIT and OFFSET

IN and BETWEEN

Introduction to SQL Aggregations

GROUP BY and HAVING

Counting with COUNT and COUNT(DISTINCT)

SUM

Calculating Average, Min, and Max with SQL

Conditional values with CASE WHEN ... ELSE

Working with Date and Time: DATE_TRUNC, DATEDIFF, and more

Subqueries and Derived tables

Common Table Expressions (CTEs)

Introduction to Window Functions

Window functions: RANK and DENSE RANK

Window functions: ROW_NUMBER

Window functions: LAG

Introduction to SQL Practice Questions

Free

Top Earning Employees

Easy

Monthly Post Success Analysis

FreeEasy

High Volume Low Success

FreeEasy

Tree Node

Easy

Marketing Campaign Duration

FreeEasy

Find Average Purchase Value

E-commerce: Units Ordered Yesterday

Easy

E-commerce: Units Ordered Last Week

Easy

E-commerce: Earliest Order by Customer

Easy

Sales by Customer City

Medium

Most Recent Transaction

Medium

Calculate Test Scores

Post Success By Interface

FreeMedium

Post Success By Age Group

FreeMedium

Find Campaign Purchases

FreeMedium

Find Revenue by Department

Medium

Find Customers by Department

Medium

Find Second Highest Order

Medium

Find Conversion Rates

FreeMedium

Find Customer Lifetime Value (LTV)

Medium

Marketing Channel Attribution

Medium

Analyze Monthly Customer Transactions

Top Customer by Orders

Number of Direct Reports

Medium

Fraudulent Transactions

Medium

EPA Temperature Monitoring

Medium

Video Game Matchmaking

Medium

Walmart Inventory Status

Medium

Unique Chat Conversations

Medium

Netflix Genre Ratings

FreeMedium

Remove Duplicate Emails

Medium

Consecutive Logins

Medium

E-commerce: Total Orders by Category

Medium

Total Transaction Volume

FreeHard

Top Salaries by Department

FreeHard

Employee Hierarchy

FreeHard

Post Success After Failure

Hard

Find Top Customer by Year

Hard

Find Monthly Revenue Growth

FreeHard

Initial Contact Attribution

Hard

Ranking Salary Deviations

Duolingo Leaderboards

FreeHard

Validate Bitcoin Transactions

Hard

E-commerce: Second Earliest Order

FreeHard

SQL Stored Procedures

Product Sense and Case Studies

3 modules

32 lessons

13 videos

Product sense is about understanding user needs and designing intuitive, high-impact solutions. In interviews, it’s tested through questions that assess your creativity, empathy, and ability to prioritize. Case studies evaluate your structured thinking—how you break down ambiguous problems and reason through them like a strategic business partner.

Introduction to Analytical/Execution Questions

How to Answer A/B Testing Questions

How to Answer Metrics Questions

Rubric for Analytical Interviews

Pick YouTube's Key Metrics

A/B Test Google's Homepage

Top 3 Variables of Uber's Passenger Pickup

Instagram Reels Success Metrics

LinkedIn Events Success Metrics

A/B Test Google Maps

Measure Success for Slack Connect

Measure Success for Instagram Discovery

A/B Testing Email Campaign

Improving Facebook’s DAU

Diagnosing Instagram DAU Drop

More Analytical/Execution Practice

Introduction to Product Design Questions

How to Answer Product Design Questions

Design Facebook Movies

Free

Design Audio Product for Meta

Introduction to the Case Study Interview

Free

How to Answer Case Study Interview Questions

Investigate Sudden Viewer Drop at Meta

Integrate Data in Netflix License Renewal

Balance Ads vs Follower Instagram Posts

Onsite Technical Round: Combination of SQL, Statistics, and Case Study

Improve Snap Camera Speed

Instagram Messaging with 3rd Party

Facebook Video for Individuals with Hearing Disabilities

Evaluating Facebook’s Emotion Scale

Identifying Conversations in Comments

Measuring Product-Market Fit for Meta Video

ML Coding Questions for Data Scientists

2 modules

10 lessons

7 videos

Master coding interviews that assess your knowledge of ML frameworks. Learn how to implement core ML components. Particularly important for DS candidates applying for roles in machine learning and algorithms.

Introduction to ML Coding Interviews

Free

How to Answer ML Coding Interview Questions

Rubric for ML Coding Interviews

Implement the KNN Algorithm

Easy

Implement K-Means Clustering

Easy

Optimal Value of K in K-Means

Implement a 2D Convolutional Filter

Medium

Predict User App Deletion

Hard

Predict Harmful Text

Hard

Split Dataset for Training, Evaluation, Testing

ML Concepts Questions for Data Scientists

3 modules

29 lessons

8 videos

Learn best practices for answering ML concepts questions. Particularly important for data science candidates applying for roles in machine learning and algorithms.

Introduction to ML Concepts Interviews

How to Answer ML Data Handling Questions

How to Answer ML Model Questions

How to Answer ML Evaluation Questions

How to Answer ML Production Questions

Rubric for ML Concepts Interviews

ML Interviews Glossary

Density-Based Spatial Clustering (DBSCAN)

Supervised Model Evaluation

Describe Linear Regression

Explain the Bias-Variance Tradeoff

Explain “Training" and “Testing” Data

Discuss Batch, Mini-Batch, Stochastic Gradient Descent

Explain Feature Scaling and Normalization

Explain Classification vs Regression

Identify When Model Needs Refresh

Handle an Exploding Gradient

Build Fraud Detection Model

Describe How Decision Trees are Created

Measure Algorithm Success

Compare Forecast Models to Other ML Models

Build Recommendation System for Online Courses

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Question database and community answers Get full access to our database of 3,000+ verified interview questions and browse by company, role, or interview stage. Post your answers and get community feedback.

Access all our company interview guides We'll walk you step-by-step through every part of the interview process, from the recruiting phone screen through the final round.

Join our members-only Discord community Connect with thousands of your peers in our private Discord community. Ask questions, practice interviews, and make connections at top tech companies.

Mock interviews with AI and peers Practice real interview questions with unlimited mock interviews, including early access to our new AI interviewer.

Frequently asked questions

: With a paid monthly or annual membership, you’ll get:

Full access to this interview course and 100+ other interview prep courses and modules.

Hundreds of real interview questions, answers, and walkthroughs

Self-paced video lessons with expert interview answer frameworks

Access to interview rubrics and sample answers for common interview types

Unlimited access to peer-to-peer mock interviews for product sense, behavioral, and more.

Access to AI tools for mock interview feedback

A complete library of company-specific interview guides

Membership in our private Slack community
: Yes! You can purchase coaching for interview prep and career coaching by visiting https://www.tryexponent.com/coaching.

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Data Science Interview Prep

Featured videos

Types of Data Science Roles

Design Campaign Experiment and Success Metrics

Implement a 2D Convolutional Filter

What people like about this course

Data Scientist Interviews Introduction

Statistics and Experimentation Questions

Data Communications Questions

Python Coding Questions for Data Scientists

SQL Interviews

Product Sense and Case Studies

ML Coding Questions for Data Scientists

ML Concepts Questions for Data Scientists

Get this course, plus everything Aced has to offer

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