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.
4.9
1125 Lessons
17 Mock Interviews
85h
Updated 2 weeks ago
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LEARNING OBJECTIVES
- Identify and apply coding interview patterns to solve algorithmic problems effectively
- Utilize data structures such as arrays, linked lists, stacks, and queues in coding challenges
- Implement sorting and searching algorithms to optimize problem-solving efficiency
- Analyze and apply dynamic programming techniques to tackle complex problems
- Employ graph algorithms to solve connectivity and traversal challenges
- Develop proficiency in string manipulation and pattern recognition for coding interviews
KEY OUTCOMES
Ace Coding Interviews
Demonstrate the ability to solve coding interview problems using established patterns and strategies, showcasing technical proficiency.
Optimize Algorithm Performance
Implement efficient algorithms and data structures to improve performance in real-world coding scenarios, ensuring timely problem resolution.
Master Problem-Solving Techniques
Apply a variety of problem-solving techniques, including dynamic programming and graph algorithms, to address complex coding challenges.
Communicate Technical Solutions
Effectively articulate technical solutions and reasoning during interviews, demonstrating clarity in thought and approach.
Why choose this course?
Learn 28 Non-negotiable Coding Patterns
Begin your journey with core coding patterns like Two Pointers, Binary Search, and Linked List manipulation. Each problem is a paired challenge and solution: first implement your own approach, then study a step-by-step optimal solution.
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
Discover how to use two coordinated pointers for solving array, string, and list problems with optimized traversal.
Introduction to Two Pointers
Valid Palindrome
3Sum
med
Remove nth Node from End of List
med
Sort Colors
med
Reverse Words in a String
med
Valid Word Abbreviation
Valid Palindrome II
Lowest Common Ancestor of a Binary Tree III
med
Strobogrammatic Number
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
med
Squares of a Sorted Array
Reverse String
Intersection of Two Linked Lists
Partition Labels
med
Remove Element
String Compression
med
Rotate Array
med
Next Permutation
med
Remove Duplicates from Sorted Array
Reverse Vowels of a String
Is Subsequence
Merge Strings Alternately
Compare Version Numbers
med
Move Zeroes
med
Longest Subarray of 1's After Deleting One Element
med
Backspace String Compare
med
Next Greater Element III
med
Rotating the Box
med
2.
Fast and Slow Pointers
Master the steps to use fast and slow pointers for cycle detection and mid-point identification.
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
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
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
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
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
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
28.
Math and Geometry
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)
Trusted by 3 million developers working at companies
V
Vlad
Learner
A
Abayomi O
Learner
A
Abayomi O
Learner
A
Abayomi O
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J
John Tang
Learner
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Anant Rao
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M
Md. A. Barik
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