Yes, JavaScript is commonly allowed in coding interviews, especially for web development roles. It supports all essential data structures and algorithms, making it suitable for solving various problems. Its straightforward syntax helps you write clean code efficiently, which is beneficial during time-constrained interviews.
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Grokking the Coding Interview Patterns in JavaScript
The ultimate guide to coding interviews in JavaScript. Developed by FAANG engineers. Learn essential patterns, practice with real-world questions, and get interview-ready in just a few hours.
4.5
1125 Lessons
17 Mock Interviews
85h
Updated today
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Select your Language
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Join 3 million developers at
LEARNING OBJECTIVES
- Understand the essential patterns behind common coding interview questions — without having to drill endless problem sets
- Identify the underlying pattern of each interview question by assessing the problem statement (and learn the tricks required to solve it)
- Practice your skills in a hands-on, setup-free coding environment
- Learn to efficiently evaluate the tradeoffs between time and space complexity in different solutions
- Develop a flexible conceptual framework for solving any question, by connecting problem characteristics, solution techniques, and coding design patterns
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
With thousands of potential questions to account for, preparing for the coding interview can feel like an impossible challenge. Yet with a strategic approach, coding interview prep doesn’t have to take more than a few weeks. Stop drilling endless sets of practice problems, and prepare more efficiently by learning coding interview patterns.
This course teaches you the underlying patterns behind common coding interview questions. By learning these essential patterns, you will be able to unpack and answer any problem the right way — just by assessing the problem statement. This approach was created by FAANG hiring managers to help you prepare for the typical rounds of interviews at major tech companies like Apple, Google, Meta, Microsoft, and Amazon.
Before long, you will have the skills you need to unlock even the most challenging questions, grok the coding interview, and level up your career with confidence.
This course is also available in Python, C++, Java, and Go — with more coming soon!
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
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Taxfix SE
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Frequently Asked Questions
Is JavaScript allowed in coding interviews?
How to practice a JavaScript coding interview?
Is cracking the coding interview enough for FAANG?
Does GitHub have resources for grokking coding interview patterns in JavaScript?
How many problems are in grokking the coding interview in JavaScript?
