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Grokking the Coding Interview Patterns in JavaScript

Name: Grokking the Coding Interview Patterns in JavaScript
Rating: 4.7 (3 reviews)

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

85h

Updated yesterday

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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

Two Pointers

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

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

Count the Number of Fair Pairs

med

Remove Duplicates from Sorted List II

med

Sum of Square Numbers

med

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

Linked List Cycle

Middle of the Linked List

Circular Array Loop

med

Find The Duplicate Number

med

Palindrome Linked List

Linked List Cycle III

med

Linked List Cycle IV

med

Maximum Twin Sum of a Linked List

med

Split a Circular Linked List

med

Sliding Window

Intervals

Solve problems in merging intervals, inserting and finding intersections of intervals, scheduler tasks, and determining employee free time.

In-Place Manipulation of a Linked List

Tackle in-place linked list manipulations for efficient and memory-optimized operations.

Two Heaps

K-way Merge

Learn how to use k-way merge for efficient data merging and finding k-th small elements.

Top K Elements

Walk through the top k elements pattern and learn efficient selection using heaps.

Modified Binary Search

10.

Subsets

Grasp the fundamentals of generating subsets, permutations, and combinations.

11.

Greedy Techniques

12.

Backtracking

13.

Dynamic Programming

Solves complex problems by breaking them into smaller overlapping subproblems and storing results to avoid redundant computations, optimizing time and space.

14.

Cyclic Sort

Step through cyclic sort concepts to efficiently handle various missing and corrupt number scenarios.

15.

Topological Sort

16.

Sort and Search

17.

Matrices

18.

Stacks

19.

Graphs

Represents a set of connected nodes or vertices, allowing for traversal and analysis of relationships or connections between data points.

20.

Tree Depth-First Search

21.

Tree Breadth-First Search

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

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

Applies mathematical concepts and geometric properties to solve problems efficiently, often involving calculations, number properties, coordinate geometry, or transformations.

29.

Challenge Yourself

Test your understanding of various coding challenges focusing on algorithm efficiency.

Course Author:

Fahim ul Haq

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)

Learn more about Fahim

Trusted by 3 million developers working at companies

I wanted to express my appreciation for the new styles of diagrams you've introduced. They are significantly better than the previous ones and enhance the learning experience. Great job!

Taxfix SE

Learner

Good selection of problems. Good selection of patterns. Step by step illustrations

Chely Ho

Learner

Educative has been a great playground to quickly brush up on skills. I find the no-video approach very fast to learn and absorb.

Vatsal R

Learner

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