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Grokking the Coding Interview Patterns in JavaScript

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.

Intermediate

533 Lessons

85h

Certificate of Completion

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.

AI-POWERED

Code Feedback
Mock Interview
Explanations

AI-POWERED

Code Feedback
Mock Interview

This course includes

341 Playgrounds
281 Challenges
282 Quizzes

This course includes

341 Playgrounds
281 Challenges
282 Quizzes
Course Overview
What You'll Learn
Course Content

Course Overview

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...Show More

TAKEAWAY SKILLS

Data Structures

Programming Language

Python

Prepare For Interview

Coding Interview Patterns

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

What You'll Learn

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

Show more

Course Content

1.

Getting Started

Learn how to use coding patterns for effective interview problem-solving with 215 challenges.
Course Overview
Who Should Take This Course
2.

Two Pointers

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
Valid Palindrome II
3.

Fast and Slow Pointers

Examine the fast and slow pointers technique for cycle detection, middle node identification, and efficient data traversal.
Introduction to Fast and Slow Pointers
Happy Number
Solution: Happy Number
Linked List Cycle
Solution: Linked List Cycle
Middle of the Linked List
Solution: Middle of the Linked List
Circular Array Loop
Solution: Circular Array Loop
Find the Duplicate Number
Solution: Find the Duplicate Number
Palindrome Linked List
Solution: Palindrome Linked List
Maximum Twin Sum of a Linked List
Solution: Maximum Twin Sum of a Linked List
Split a Circular Linked List
Solution: Split a Circular Linked List
4.

Sliding Window

Grasp the fundamentals of the sliding window technique for efficient array and string manipulation.
Introduction to Sliding Window
Repeated DNA Sequences
Solution: Repeated DNA Sequences
Sliding Window Maximum
Solution: Sliding Window Maximum
Minimum Window Subsequence
Solution: Minimum Window Subsequence
Longest Repeating Character Replacement
Solution: Longest Repeating Character Replacement
Minimum Window Substring
Solution: Minimum Window Substring
Longest Substring without Repeating Characters
Solution: Longest Substring without Repeating Characters
Minimum Size Subarray Sum
Solution: Minimum Size Subarray Sum
Maximum Average Subarray I
Solution: Maximum Average Subarray I
Diet Plan Performance
Solution: Diet Plan Performance
Best Time to Buy and Sell Stock
5.

Merge Intervals

Take a closer look at merging, inserting, and intersecting intervals for optimal scheduling.
Introduction to Merge Intervals
Merge Intervals
Solution: Merge Intervals
Insert Interval
Solution: Insert Interval
Interval List Intersections
Solution: Interval List Intersections
Employee Free Time
Solution: Employee Free Time
Task Scheduler
Solution: Task Scheduler
Meeting Rooms II
6.

In-Place Manipulation of a Linked List

16 Lessons

Tackle in-place linked list manipulation for scenarios like reversing, swapping nodes, and removing duplicates using space-efficient techniques.
7.

Two Heaps

15 Lessons

Build on using two heaps to optimize dynamic data processing, median calculations, and task scheduling.
8.

K-way merge

11 Lessons

Learn how to use the K-way merge for efficient sorting and finding specific elements.
9.

Top K Elements

17 Lessons

Get started with techniques to efficiently identify the top K elements in unsorted collections.
10.

Modified Binary Search

18 Lessons

Work your way through modified binary search techniques, including real-world applications and various problem-solving strategies.
11.

Subsets

10 Lessons

Grasp the fundamentals of generating subsets, permutations, and letter combinations, using efficient algorithms.
12.

Greedy Techniques

20 Lessons

Take a closer look at greedy algorithms for optimal solutions in various coding challenges.
13.

Backtracking

17 Lessons

Follow the process of utilizing backtracking to solve various algorithmic challenges efficiently.
14.

Dynamic Programming

32 Lessons

Master dynamic programming by exploring optimization techniques to solve various algorithmic problems efficiently.
15.

Cyclic Sort

8 Lessons

Learn how to use cyclic sort for efficient sorting, missing numbers, and corrupt pairs.
16.

Topological Sort

16 Lessons

Walk through topological sorting for organizing tasks, class compilation, alien dictionary challenges, course schedules, and matrix construction.
17.

Matrices

17 Lessons

Examine key matrix operations and solutions for various matrix-related coding problems.
18.

Stacks

18 Lessons

Grasp the fundamentals of stack data structures and their practical applications in coding.
19.

Graphs

17 Lessons

Deepen your knowledge of graph fundamentals, traversal techniques, and key graph algorithms.
20.

Tree Depth-First Search

31 Lessons

Simplify complex topics like tree depth-first search and solving binary tree problems efficiently.
21.

Tree Breadth-First Search

14 Lessons

Master the steps to efficiently traverse binary trees with BFS for various problem-solving applications.
22.

Trie

18 Lessons

Get familiar with the trie data structure for efficient string storage and prefix matching.
23.

Hash Maps

32 Lessons

Discover the logic behind hash map creation, key operations, and diverse applications.
24.

Knowing What to Track

24 Lessons

Explore effectively tracking elements in data sets for solving common coding problems.
25.

Union Find

22 Lessons

Grasp the fundamentals of Union Find, solving graph and connectivity problems efficiently.
26.

Custom Data Structures

24 Lessons

Deepen your knowledge of creating custom data structures for specialized problem-solving in JavaScript.
27.

Bitwise Manipulation

22 Lessons

Implement bitwise manipulation techniques for solving problems efficiently, with applications in cryptography, compression, and data encoding.
28.

Challenge Yourself

40 Lessons

Challenge yourself with coding problems, improving problem-solving skills with practice and application.
29.

Conclusion

1 Lesson

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

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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?

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?