Yes, Java is excellent for coding interviews. It’s a popular and widely used programming language in the industry and effectively supports core data structures and algorithms. Java’s strong typing and object-oriented features help write clear, maintainable code, making it a solid choice for technical interviews.
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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.
4.8
1033 Lessons
17 Mock Interviews
85h
Updated this week
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Select your Language
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- 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
Why choose this course?
Learn 28 Non-negotiable Coding Patterns
Begin your journey with core coding patterns such as Two Pointers, Binary Search, and Linked List manipulation. Each problem comes as a paired challenge and solution: first, implement your own approach, then study a step-by-step optimal sol
Master Advanced Algorithms and Data Structures
Level up with complex topics such as Dynamic Programming, Graphs, Tries, and Union Find. These advanced patterns often appear in the toughest interviews and will prepare you to approach difficult questions with confidence and clarity.
Mock Interviews for Every Coding Pattern
At the end of each chapter, take an AI-driven mock interview. Practice under real conditions and strengthen your ability to explain solutions clearly.
Put Your Skills to the Test
Wrap up your preparation in the Challenge Yourself section, where problems are presented without pattern labels. This sharpens your ability to recognize the right approach on your own, just like in a real interview.
Learning Roadmap
1.
Two Pointers
Get started with two-pointers to solve linear data structure problems efficiently.
Introduction to Two Pointers
Valid Palindrome
Easy
3Sum
Medium
Remove nth Node from End of List
Medium
Sort Colors
Medium
Reverse Words in a String
Medium
Valid Word Abbreviation
Easy
Valid Palindrome II
Easy
Lowest Common Ancestor of a Binary Tree III
Medium
Strobogrammatic Number
Easy
Minimum Number of Moves to Make Palindrome
Hard
Next Palindrome Using Same Digits
Hard
Count Subarrays With Fixed Bounds
Hard
Find the Lexicographically Largest String From Box II
Hard
Get the Maximum Score
Hard
Create Maximum Number
Hard
Append Characters to String to Make Subsequence
Medium
Squares of a Sorted Array
Easy
Reverse String
Easy
Intersection of Two Linked Lists
Easy
Partition Labels
Medium
Remove Element
Easy
String Compression
Medium
Rotate Array
Medium
Next Permutation
Medium
Remove Duplicates from Sorted Array
Easy
Reverse Vowels of a String
Medium
Is Subsequence
Medium
2.
Fast and Slow Pointers
Master the steps to use fast and slow pointers for cycle detection and mid-point identification.
Introduction to Fast and Slow Pointers
Happy Number
Easy
Linked List Cycle
Easy
Middle of the Linked List
Easy
Circular Array Loop
Medium
Find The Duplicate Number
Medium
Palindrome Linked List
Easy
Linked List Cycle III
Medium
Linked List Cycle IV
Medium
Maximum Twin Sum of a Linked List
Medium
Split a Circular Linked List
Medium
3.
Sliding Window
Break down the sliding window technique to solve computational problems with optimized efficiency.
4.
Intervals
Solve problems in merging intervals, inserting and finding intersections of intervals, scheduler tasks, and determining employee free time.
5.
In-Place Manipulation of a Linked List
Tackle in-place linked list manipulations for efficient and memory-optimized operations.
6.
Two Heaps
Master the steps to optimize dynamic data processing and decision-making using heaps.
7.
K-way Merge
Learn how to use k-way merge for efficient data merging and finding k-th small elements.
8.
Top K Elements
Walk through the top k elements pattern and learn efficient selection using heaps.
9.
Modified Binary Search
Break apart modified binary search adaptations and solutions for diverse search problems.
10.
Subsets
Grasp the fundamentals of generating subsets, permutations, and combinations.
11.
Greedy Techniques
Dig into optimization problems with greedy algorithms through practical scenarios and solutions.
12.
Backtracking
Explore backtracking algorithm for solving complex problems like N-Queens, word search, binary tree paths, and Sudoku.
13.
Dynamic Programming
Build on dynamic programming concepts to efficiently solve complex optimization problems.
14.
Cyclic Sort
Step through cyclic sort concepts to efficiently handle various missing and corrupt number scenarios.
15.
Topological Sort
Unpack the core of topological sort, focusing on ordering dependencies and resolving compilation sequences efficiently.
16.
Sort and Search
Solve problems by organizing data through sorting and applying binary search, two-pointer, and sliding window for efficient solutions.
17.
Matrices
Go hands-on with matrix operations, transformations, and efficient traversal techniques in coding.
18.
Stacks
Apply your skills to use stacks for various tasks, including calculators, string manipulation, and queuing.
19.
Graphs
Deepen your knowledge of graph theory, algorithms, practical solutions, and real-world applications.
20.
Tree Depth-First Search
Follow the process of exploring tree structures and implementing various binary tree problems.
21.
Tree Breadth-First Search
Piece together the parts of the Tree BFS traversal, focusing on various traversal methods.
22.
Trie
Step through efficient trie implementations to optimize search suggestions, word replacements, and common prefix finding.
23.
Hash Maps
Discover the logic behind implementing efficient hash maps and their applications in problem-solving.
24.
Knowing What to Track
Master the steps to efficiently track data, solve permutations, anagrams, and game design problems.
25.
Union Find
Enhance your skills in Union-Find to address diverse graph and connectivity problems.
26.
Custom Data Structures
Dig into creating and implementing custom data structures for solving specialized problems efficiently.
27.
Bitwise Manipulation
Explore bitwise operations for problem-solving and algorithm optimization.
28.
Math and Geometry
Explore math and geometry for problem-solving.
29.
Challenge Yourself
Test your understanding of various coding challenges focusing on algorithm efficiency.
Course Author:
Developed by MAANG Engineers
ABOUT THIS COURSE
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 coding interview around 28 fundamental patterns. Each pattern is a reusable strategy. Once you understand two pointers, for example, you can apply them to dozens of problems you've never seen before. The course walks you through each pattern step by step, starting with the intuition behind it, then building through increasingly complex applications.
As with every course on Educative, you will practice in a hands-on way with 500+ challenges, 17 mock interviews, and detailed explanations for every solution. The course is available in Python, Java, JavaScript, Go, C++, and C#, so you can prep in the language you'll actually use in your interview. Whether you're preparing for your first FAANG loop or brushing up after a few years away from interviewing, this course will give you a repeatable framework for cracking the coding interview.
ABOUT THE AUTHOR
Fahim ul Haq
Software Engineer, Distributed Storage at Meta and Microsoft, Educative (Co-founder & CEO)
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