Grokking the Coding Interview Patterns

Grokking the Coding Interview is the best course that saves countless hours wasted in grinding LeetCode. Master 28 coding patterns; unlock all LeetCode problems. Developed by and for MAANG engineers.

Intermediate

975 Lessons

85h

Updated yesterday

Grokking the Coding Interview is the best course that saves countless hours wasted in grinding LeetCode. Master 28 coding patterns; unlock all LeetCode problems. Developed by and for MAANG engineers.

AI-POWERED

Code Feedback

Mock Interview

Explanations

AI-POWERED

Code Feedback

Mock Interview

This course includes

550 Playgrounds

503 Challenges

504 Quizzes

This course includes

550 Playgrounds

503 Challenges

504 Quizzes

Course Overview

I created Grokking the Coding Interview because I watched too many talented engineers fail interviews they should have passed. At Microsoft and Meta, I saw firsthand what separated the candidates who succeeded from the ones who didn't. It wasn't how many LeetCode problems they'd solved. It was whether they could look at an unfamiliar problem and know how to approach it the right way. That's what this course teaches. Rather than throwing hundreds of disconnected problems at you, we organize the entire codin...Show More

TAKEAWAY SKILLS

Java

Programming Language

Prepare For Interview

Coding Interview Patterns

Data Structures

Python

What You'll Learn

Master 28 coding patterns that unlock the logic behind thousands of LeetCode-style problems

Identify the underlying pattern in any coding interview question by analyzing the problem statement

Solve real-world problems across arrays, trees, graphs, dynamic programming, and more without relying on memorization

Evaluate time and space complexity tradeoffs to choose the optimal approach under pressure

Practice with 500+ hands-on challenges and 17 mock interviews simulating real FAANG coding interview loops

What You'll Learn

Master 28 coding patterns that unlock the logic behind thousands of LeetCode-style problems

Course Content

Getting Started

Get familiar with coding design patterns to excel in coding interviews.

Course Overview

Who Should Take This Course

Two Pointers

Walk through the fundamentals of the two-pointers technique for solving various coding problems.

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 Remove Duplicates from Sorted Array Solution: Remove Duplicates from Sorted Array

Valid Palindrome II

Fast and Slow Pointers

Go hands-on with fast and slow pointers to detect cycles, middle nodes, and duplicates.

Sliding Window

Grasp the fundamentals of efficiently solving subarray and substring problems using the sliding window technique.

Introduction to Sliding Window

Repeated DNA Sequences Solution: Repeated DNA Sequences

Sliding Window Maximum Solution: Sliding Window Maximum

Minimum Window Subsequence Solution: Minimum Window Subsequence

Longest Repeating Character Replacement Solution: Longest Repeating Character Replacement

Minimum Window Substring Solution: Minimum Window Substring

Longest Substring without Repeating Characters Solution: Longest Substring without Repeating Characters

Minimum Size Subarray Sum Solution: Minimum Size Subarray Sum Maximum Average Subarray I Solution: Maximum Average Subarray I Diet Plan Performance Solution: Diet Plan Performance Fruit Into Baskets Solution: Fruit Into Baskets Contains Duplicate II Solution: Contains Duplicate II Frequency of the Most Frequent Element Solution: Frequency of the Most Frequent Element Subarrays with K Different Integers Solution: Subarrays with K Different Integers Count Subarrays With Score Less Than K Solution: Count Subarrays With Score Less Than K Count Substrings With K-Frequency Characters II Solution: Count Substrings With K-Frequency Characters II Substring with Concatenation of All Words Solution: Substring with Concatenation of All Words Binary Subarrays With Sum Solution: Binary Subarrays With Sum Permutation in String Solution: Permutation in String

Intervals

Map out the steps for solving overlapping interval problems in various contexts.

In-Place Manipulation of a Linked List

28 Lessons

Follow efficient in-place linked list manipulation techniques for various node reordering and removal tasks.

Heaps

25 Lessons

Build on efficient data structures and algorithms using heaps for dynamic data processing.

K-way merge

15 Lessons

Step through the key techniques and algorithms for efficiently merging sorted data structures.

Top K Elements

37 Lessons

Unpack the core of identifying top K elements using heaps in various scenarios.

10.

Modified Binary Search

40 Lessons

Break apart various search techniques using modified binary search for different problem scenarios.

11.

Subsets

16 Lessons

Grasp the fundamentals of subsets, permutations, letter combinations, balanced parentheses, and k-sum subsets.

12.

Greedy Techniques

43 Lessons

Dig deeper into the application and optimization of greedy algorithms across various problem scenarios.

13.

Backtracking

35 Lessons

See how it works to solve problems using backtracking, from N-Queens to Sudoku.

14.

Dynamic Programming

74 Lessons

Master dynamic programming concepts, optimize solutions using memoization and tabulation for complex problems.

15.

Cyclic Sort

12 Lessons

Break down cyclic sort for efficient in-place sorting and finding missing, duplicate integers.

16.

Topological Sort

22 Lessons

Discover the logic behind topological sorting to solve dependency-based challenges and tasks.

17.

Sort and Search

33 Lessons

Solve problems by organizing data through sorting and applying binary search, two-pointer, and sliding window for efficient solutions.

18.

Matrices

37 Lessons

Examine matrix operations, problem-solving methods, real-world applications, and algorithmic solutions for matrix traversal and transformations.

19.

Stacks

32 Lessons

Grasp the fundamentals of stacks, their operations, and applications in various problems.

20.

Graphs

35 Lessons

Take a closer look at graph theory, algorithms, traversals, and solving various graph-related problems.

21.

Tree Depth-First Search

37 Lessons

See how it works to explore, transform, analyze, and optimize various binary tree operations.

22.

Tree Breadth-First Search

26 Lessons

Build on performing efficient tree traversals with BFS approaches for various problems.

23.

Trie

30 Lessons

Step through efficiently managing strings with trie data structures and practical applications.

24.

Hash Maps

48 Lessons

Discover the logic behind designing hash maps, solving data structure challenges, and optimal algorithms.

25.

Knowing What to Track

34 Lessons

Examine efficient data tracking patterns and solutions for frequency-related problems.

26.

Union Find

28 Lessons

Grasp the fundamentals of the union-find algorithm and its applications in various graph problems.

27.

Custom Data Structures

32 Lessons

Dig into custom data structures for efficient, scalable solutions in complex coding challenges.

28.

Bitwise Manipulation

32 Lessons

Simplify complex topics in bitwise manipulation for efficient problem-solving and optimization.

29.

Math and Geometry

51 Lessons

Explore mathematical and geometric coding challenges, focusing on efficiency and problem-solving techniques.

30.

Challenge Yourself

40 Lessons

Master the steps to tackle diverse coding problems, enhancing problem-solving skills and strategic thinking.

31.

Conclusion

1 Lesson

Learn how to use the course's concepts for continued success in coding interviews.

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

Hands-on Learning Powered by AI

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

Instant 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.

AI-Powered Mock Interviews

Put your skills to the test in a simulated interview setting. Receive personalized feedback based on your performance. Available in Premium & Premium Plus plans.

Adaptive Learning

At various checkpoints throughout Educative courses, you will be prompted to take a quick assessment. Receive a condensed curriculum tailored to your strengths and skill gaps.

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!