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Beginner

10h

Google Coding Interview Questions

Sharpen your skills with coding problems modeled after real Google interviews—focusing on algorithmic depth, performance under constraints, and clear technical thinking.

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Overview

Content

Reviews

Google’s coding interviews assess more than your ability to write working code—they test how you structure ideas, optimize for scale, and communicate your decisions. Whether you're targeting front-end, back-end, or full-stack roles, these problems reflect Google’s high bar for technical rigor, clarity, and creativity. Each coding problem is framed with constraints and interviewer-style prompts to help you code like a Googler, and think like one too.

Google’s coding interviews assess more than your ability to write working code—they test how you structure ideas, optimize for s...Show More

WHAT YOU'LL LEARN

Structured thinking to break down open-ended algorithmic problems.

Fluent use of data structures like graphs, heaps, and hash maps.

Technical articulation of logic, trade-offs, and design decisions under pressure.

Scalable thinking for writing modular, maintainable, and efficient code.

Structured thinking to break down open-ended algorithmic problems.

Content

921 Lessons477 Quizzes476 Challenges

Getting Started

2 Lessons

Course Overview

Who Should Take This Course

Two Pointers

50 Lessons

Introduction to Two Pointers

Valid Palindrome

Solution: Valid Palindrome

3Sum

Solution: 3Sum

Remove Nth Node from End of List

Solution: Remove Nth Node from End of List

Sort Colors

Solution: Sort Colors

Reverse Words in a String

Solution: Reverse Words in a String

Valid Word Abbreviation

Solution: Valid Word Abbreviation

Strobogrammatic Number

Solution: Strobogrammatic Number

Minimum Number of Moves to Make Palindrome

Solution: Minimum Number of Moves to Make Palindrome

Next Palindrome Using Same Digits

Solution: Next Palindrome Using Same Digits

Lowest Common Ancestor of a Binary Tree III

Solution: Lowest Common Ancestor of a Binary Tree III

Count Pairs Whose Sum is Less than Target

Solution: Count Pairs Whose Sum is Less than Target

Count Subarrays With Fixed Bounds

Solution: Count Subarrays With Fixed Bounds

Get the Maximum Score

Solution: Get the Maximum Score

Find the Lexicographically Largest String From Box II

Solution: Find the Lexicographically Largest String From Box II

Create Maximum Number

Solution: Create Maximum Number

Append Characters to String to Make Subsequence

Solution: Append Characters to String to Make Subsequence

Squares of a Sorted Array

Solution: Squares of a Sorted Array

Reverse String

Solution: Reverse String

Intersection of Two Linked Lists

Solution: Intersection of Two Linked Lists

Remove Element

Solution: Remove Element

String Compression

Solution: String Compression

Partition Labels

Solution: Partition Labels

Next Permutation

Solution: Next Permutation

Rotate Array

Solution: Rotate Array

Valid Palindrome II

Two Pointers

Mock Interview

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Fast and Slow Pointers

21 Lessons

Fast and Slow Pointers

Mock Interview

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Sliding Window

33 Lessons

Sliding Window

Mock Interview

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Intervals

18 Lessons

Merge Intervals

Mock Interview

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In-Place Manipulation of a Linked List

26 Lessons

In-place manipulation of a linked list

Mock Interview

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Heaps

25 Lessons

Heaps

Mock Interview

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K-way merge

15 Lessons

K-way merge

Mock Interview

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Top K Elements

37 Lessons

10.

Modified Binary Search

36 Lessons

Modified Binary Search

Mock Interview

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11.

Subsets

16 Lessons

12.

Greedy Techniques

41 Lessons

13.

Backtracking

35 Lessons

14.

Dynamic Programming

56 Lessons

Dynamic Programming

Mock Interview

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15.

Cyclic Sort

12 Lessons

16.

Topological Sort

22 Lessons

Topological Sort

Mock Interview

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17.

Sort and Search

31 Lessons

18.

Matrices

37 Lessons

19.

Stacks

30 Lessons

20.

Graphs

31 Lessons

Graphs

Mock Interview

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21.

Tree Depth-First Search

35 Lessons

22.

Tree Breadth-First Search

26 Lessons

Tree Breadth First Search

Mock Interview

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23.

Trie

30 Lessons

24.

Hash Maps

44 Lessons

25.

Knowing What to Track

32 Lessons

Knowing what to track

Mock Interview

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26.

Union Find

28 Lessons

Union Find

Mock Interview

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27.

Custom Data Structures

32 Lessons

28.

Bitwise Manipulation

32 Lessons

Bitwise Manipulation

Mock Interview

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29.

Math and Geometry

47 Lessons

Math and Geometry

Mock Interview

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30.

Challenge Yourself

40 Lessons

31.

Conclusion

1 Lessons

Where to Go from Here?

Coding Patterns

Mock Interview

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Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

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"You guys are the gold standard of crash-courses... Narrow enough that it doesn't need years of study or a full blown book to get the gist, but broad enough that an afternoon of Googling doesn't cut it."

Software Developer

Carlos Matias La Borde

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Souvik Kundu

Front-end Developer

"Your courses are simply awesome, the depth they go into and the breadth of coverage is so good that I don't have to refer to 10 different websites looking for interview topics and content."

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Software Developer

Hands-on Learning Powered by AI

See how Educative uses AI to make your learning more immersive than ever before.

Personalized Interview Prep

Skip the LeetCode grind with a custom roadmap that adapts to your goals. Hands-on practice for Coding Interviews, System Design, and more.

Mock Interviews

Test your skills in a simulated interview setting. Receive personalized feedback based on your performance. Available for Coding Interviews, System Design, and more.

AI Prompt

Build prompt engineering skills. Practice implementing AI-informed solutions.

Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

Explain with AI

Select any text within any Educative course, and get an instant explanation — without ever leaving your browser.

AI Code Mentor

AI Code Mentor helps you quickly identify errors in your code, learn from your mistakes, and nudge you in the right direction — just like a 1:1 tutor!

Free Resources

FOR TEAMS

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Frequently Asked Questions

What types of coding questions does Google ask?

Google focuses on algorithms and data structures, emphasizing topics such as arrays, strings, trees, graphs, dynamic programming, and concurrency. Expect problems that require creative problem‑solving and optimizations.

How many rounds of coding interviews are there at Google?

Typically there is one initial online assessment or phone screen followed by 1–2 technical phone interviews and then several on‑site interviews (now often virtual). Each technical round lasts about 45 minutes and features one or two coding problems.

Which programming languages are allowed in a Google coding round?

Google allows you to code in any mainstream language (e.g., Python, Java, C++, Go). You should choose a language you are most fluent in and be prepared to discuss its trade‑offs and complexities.

How important is Big‑O analysis for a Google coding interview?

Extremely important. Interviewers expect you to write efficient code and to analyze time and space complexity. Be ready to justify your approach and, if needed, optimize further

Are library functions permitted during the Google interview?

You may use standard library functions for simple tasks (sorting, searching) but should avoid using high‑level utilities that trivialize the problem. Clarify with your interviewer if you’re unsure.

What is unique about Google interviews?

Google interviews often test your ability to explain thought processes clearly, optimize solutions in real time, and apply algorithms to novel problems.

Does Google ask LeetCode-style questions?

Yes. Many Google coding interview questions are similar to medium and hard LeetCode problems, though Google sometimes modifies them to assess scalability, edge cases, and real-world applicability.

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