HomeCoursesGrokking the Coding Interview Patterns in JavaScript

Intermediate

85h

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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.

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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!

With thousands of potential questions to account for, preparing for the coding interview can feel like an impossible challenge. ...Show More

WHAT YOU'LL LEARN

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

Understand the essential patterns behind common coding interview questions — without having to drill endless problem sets

TAKEAWAY SKILLS

Data Structures

Programming Language

Python

Prepare for Interview

Coding Interview Patterns

Content

792 Lessons412 Quizzes411 Challenges

Getting Started

2 Lessons

Learn how to use coding patterns for effective interview problem-solving with 215 challenges.

Course Overview

Who Should Take This Course

Two Pointers

30 Lessons

Get started with Two Pointers for efficient array and string manipulation techniques.

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

Valid Palindrome II

Two Pointers

Mock Interview

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Fast and Slow Pointers

21 Lessons

Examine the fast and slow pointers technique for cycle detection, middle node identification, and efficient data traversal.

Fast and Slow Pointers

Mock Interview

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Sliding Window

31 Lessons

Grasp the fundamentals of the sliding window technique for efficient array and string manipulation.

Sliding Window

Mock Interview

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Merge Intervals

16 Lessons

Take a closer look at merging, inserting, and intersecting intervals for optimal scheduling.

In-Place Manipulation of a Linked List

24 Lessons

Tackle in-place linked list manipulation for scenarios like reversing, swapping nodes, and removing duplicates using space-efficient techniques.

Heaps

25 Lessons

Build on using heaps to optimize dynamic data processing, median calculations, and task scheduling.

Heaps

Mock Interview

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K-way merge

15 Lessons

Learn how to use the K-way merge for efficient sorting and finding specific elements.

Top K Elements

33 Lessons

Get started with techniques to efficiently identify the top K elements in unsorted collections.

10.

Modified Binary Search

30 Lessons

Work your way through modified binary search techniques, including real-world applications and various problem-solving strategies.

Modified Binary Search

Mock Interview

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11.

Subsets

14 Lessons

Grasp the fundamentals of generating subsets, permutations, and letter combinations, using efficient algorithms.

12.

Greedy Techniques

31 Lessons

Take a closer look at greedy algorithms for optimal solutions in various coding challenges.

13.

Backtracking

31 Lessons

Follow the process of utilizing backtracking to solve various algorithmic challenges efficiently.

14.

Dynamic Programming

36 Lessons

Master dynamic programming by exploring optimization techniques to solve various algorithmic problems efficiently.

Dynamic Programming

Mock Interview

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15.

Cyclic Sort

12 Lessons

Learn how to use cyclic sort for efficient sorting, missing numbers, and corrupt pairs.

16.

Topological Sort

18 Lessons

Walk through topological sorting for organizing tasks, class compilation, alien dictionary challenges, course schedules, and matrix construction.

Topological Sort

Mock Interview

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17.

Sort and Search

31 Lessons

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

18.

Matrices

33 Lessons

Examine key matrix operations and solutions for various matrix-related coding problems.

19.

Stacks

26 Lessons

Grasp the fundamentals of stack data structures and their practical applications in coding.

20.

Graphs

31 Lessons

Deepen your knowledge of graph fundamentals, traversal techniques, and key graph algorithms.

Graphs

Mock Interview

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21.

Tree Depth-First Search

33 Lessons

Simplify complex topics like tree depth-first search and solving binary tree problems efficiently.

22.

Tree Breadth-First Search

20 Lessons

Master the steps to efficiently traverse binary trees with BFS for various problem-solving applications.

Tree Breadth First Search

Mock Interview

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23.

Trie

22 Lessons

Get familiar with the trie data structure for efficient string storage and prefix matching.

24.

Hash Maps

36 Lessons

Discover the logic behind hash map creation, key operations, and diverse applications.

25.

Knowing What to Track

30 Lessons

Explore effectively tracking elements in data sets for solving common coding problems.

26.

Union Find

24 Lessons

Grasp the fundamentals of Union Find, solving graph and connectivity problems efficiently.

Union Find

Mock Interview

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27.

Custom Data Structures

28 Lessons

Deepen your knowledge of creating custom data structures for specialized problem-solving in JavaScript.

28.

Bitwise Manipulation

30 Lessons

Implement bitwise manipulation techniques for solving problems efficiently, with applications in cryptography, compression, and data encoding.

29.

Math and Geometry

37 Lessons

Explore mathematical concepts and geometric properties to solve various coding challenges.

30.

Challenge Yourself

41 Lessons

Challenge yourself with coding problems, improving problem-solving skills with practice and application.

31.

Conclusion

1 Lessons

Get familiar with further resources, hands-on practice, and the supportive community for interviews.

Coding Patterns

Mock Interview

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Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

Every Educative lesson is designed by our in-house team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

Trusted by 2.7 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!"

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"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

Hands-on Learning Powered by AI

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

Personalized Interview Prep

Skip the LeetCode grind with a custom roadmap that adapts to your goals. Hands-on practice for Coding Interviews, System Design, and more.

Mock Interviews

Test your skills in a simulated interview setting. Receive personalized feedback based on your performance. Available for Coding Interviews, System Design, and more.

AI Prompt

Build prompt engineering skills. Practice implementing AI-informed solutions.

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.

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!

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Free Resources

Frequently Asked Questions

Is JavaScript allowed in coding interviews?

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.

How to practice a JavaScript coding interview?

To practice JavaScript coding interviews, focus on solving coding problems on platforms like Educative, LeetCode, and HackerRank, which offer various challenges. Study common data structures and algorithms and practice writing clean, efficient code. Review JavaScript-specific concepts like closures, promises, and async/await to be well-prepared for technical questions.

Is cracking the coding interview enough for FAANG?

While cracking the coding Interview has a significant impact, it’s often not enough to pass the FAANG interviews. You must do additional study and practice study system design and behavioral questions on coding platforms like Educative.

Does GitHub have resources for grokking coding interview patterns in JavaScript?

Yes, GitHub has resources for grokking coding interview patterns in JavaScript. Educative has its popular listings on GitHub, which list various coding problems and patterns, allowing you to pick and choose the ones that best fit your needs. This helps you focus on specific areas for improvement and tailor your preparation to the problems you’re most likely to encounter in interviews.

How many problems are in grokking the coding interview in JavaScript?

Our Grokking the Coding Interview course at Educative currently offers 228 LeetCode coding problems categorized under key coding patterns, and we’re continuously updating this number. Some of the patterns include:

Topological sort: It orders tasks based on dependencies using directed graphs.
Backtracking: It explores all possible solutions by trying and undoing choices.
Dynamic programming: It solves problems by breaking them into overlapping subproblems and storing results.
Greedy algorithm: It makes the locally optimal choice to find a global solution at each step.
Tree Depth-first search (DFS): It explores as far as possible along each branch before backtracking.

This ensures comprehensive preparation for coding interviews at top tech companies like FAANG.