Data Structures for Coding Interviews in JavaScript

Get a firm grasp on the inner workings of the most common data structures. Tackle common interview coding problems and analyze your solutions.

Beginner

227 Lessons

35h

Certificate of Completion

Get a firm grasp on the inner workings of the most common data structures. Tackle common interview coding problems and analyze your solutions.

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Explanations

AI-POWERED

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This course includes

168 Playgrounds

65 Challenges

24 Quizzes

This course includes

168 Playgrounds

65 Challenges

24 Quizzes

Course Overview

Data structures are amongst the very fundamentals of Computer Science and are often a core decision in developing efficient programs. Consequently, they are also largely categorized as a vital benchmark of computer science knowledge when it comes to industry interviews. This course contains a detailed review of all the common data structures and provides implementation level details in JavaScript to allow readers to become well equipped with all the different data structures they can leverage to write bette...Show More

Course Content

Introduction to Complexity Measures

Comparing Algorithms

Example: Measuring Time Complexity of a Single Loop Algorithm

Example: Time Complexity of an Algorithm With Nested Loops

Introduction to Asymptotic Analysis and Big O

Other Common Asymptotic Notations and Why Big O Trumps Them

Useful Formulae

Common Complexity Scenarios

Challenge: Big (O) of Nested Loop With Addition

Solution: Big (O) of Nested Loop With Addition

Challenge: Big (O) of Nested Loop With Subtraction

Solution: Big (O) of Nested Loop With Subtraction

Challenge: Big (O) of Nested Loop With Multiplication

Solution: Big (O) of Nested Loop With Multiplication

Challenge: Nested Loop With Multiplication (Basic)

Solution: Nested Loop With Multiplication (Basic)

Challenge: Nested Loop With Multiplication (Intermediate)

Solution: Nested Loop With Multiplication (Intermediate)

Challenge: Nested Loop With Multiplication (Advanced)

Solution: Nested Loop With Multiplication (Advanced)

Challenge: Nested Loop With Multiplication (Pro)

Solution: Nested Loop With Multiplication (Pro)

Quiz: Test Your Understanding of Complexity

Introduction to Arrays

Arrays

The var vs. let vs. const

Challenge: Remove Even Integers From Array

Solution: Remove Even Integers From Array

Challenge: Merge Two Sorted Arrays

Solution: Merge Two Sorted Arrays

Challenge: Find Two Numbers That Add Up to K

Solution: Find Two Numbers That Add Up to K

Challenge: Product of Array Except Self

Solution: Product of Array Except Self

Challenge: Find Minimum Value in Array

Solution: Find Minimum Value in Array

Challenge: First Non-Repeating Integer in an Array

Solution: First Non-Repeating Integer in an Array

Challenge: Find Second Maximum Value in an Array

Solution: Find Second Maximum Value in an Array

Challenge: Rotate Array

Solution: Rotate Array

Challenge: Rearrange Positive & Negative Values

Solution: Rearrange Positive & Negative Values

Challenge: Rearrange Sorted Array in Max/Min Form

Solution: Rearrange Sorted Array in Max/Min Form

Challenge: Maximum Subarray

Solution: Maximum Subarray

Arrays Quiz: Test Your Understanding of Arrays

Introduction to Linked Lists

Singly Linked Lists (SLL)

Basic Linked List Operations

Singly Linked List Insertion

Singly Linked List Deletion

Deletion at the Tail

Linked Lists vs. Arrays

Doubly Linked Lists (DLL)

Singly Linked Lists vs. Doubly Linked Lists

Challenge: Insertion at Tail

Solution: Insertion at Tail

Challenge: Search in a Singly Linked List

Solution: Search in a Singly Linked List

Challenge: Deletion by Value

Solution: Deletion by Value

Challenge: Find the Length of a Linked List

Solution: Find the Length of a Linked List

Challenge: Reverse Linked List

Solution: Reverse Linked List

Challenge: Linked List Cycle

Solution: Linked List Cycle

Challenge: Middle of the Linked List

Solution: Middle of the Linked List

Challenge: Remove Duplicates from a Linked List

Solution: Remove Duplicates from a Linked List

Challenge: Union and Intersection of Linked Lists

Solution: Union and Intersection of Linked Lists

Challenge: Return the Nth Node from End

Solution: Return the Nth Node from End

Challenge: Find If a Doubly Linked List Is a Palindrome

Solution: Find If a Doubly Linked List Is a Palindrome

Linked Lists Quiz: Test Your Understanding of Linked Lists

Introduction to Stack/Queues

What is a Stack?

Stack (Implementation)

What is a Queue?

Queue (Implementation)

Challenge: Generate Binary Numbers From 1 to n Using a Queue

Solution: Generate Binary Numbers From 1 to n Using a Queue

Challenge: Implement Two Stacks Using One Array

Solution: Implement Two Stacks Using One Array

Challenge: Reverse First k Elements of Queue

Solution: Reverse First k Elements of Queue

Challenge: Implement Queue Using Stacks

Solution: Implement Queue Using Stacks

Challenge: Sort Values in a Stack

Solution: Sort Values in a Stack

Challenge: Evaluate Postfix Expression Using a Stack

Solution: Evaluate Postfix Expression Using a Stack

Challenge: Next Greater Element Using a Stack

Solution: Next Greater Element Using a Stack

Challenge: Find the Celebrity

Solution: Find the Celebrity

Challenge: Valid Parentheses

Solution: Valid Parentheses

Challenge: Min Stack

Solution: Min Stack

Stack/Queue Quiz: Test Your Understanding of Stack/Queue

Introduction to Graphs

What is a Graph?

Types of Graphs

Representation of Graphs

Graph Implementation

Complexities of Graph Operations

What is a Bipartite Graph?

Graph Traversal Algorithms

Challenge: Implement Breadth-First Search

Solution: Implement Breadth-First Search

Challenge: Implement Depth-First Search

Solution: Implement Depth-First Search

Challenge: Detect Cycle in a Directed Graph

Solution: Detect Cycle in a Directed Graph

Challenge: Find a Mother Vertex in a Directed Graph

Solution: Find a Mother Vertex in a Directed Graph

Challenge: Count the Number of Edges in an Undirected Graph

Solution: Count the Number of Edges in an Undirected Graph

Challenge: Check If a Path Exists between Two Vertices

Solution: Check If a Path Exists between Two Vertices

Challenge: Graph Valid Tree

Solution: Graph Valid Tree

Challenge: Find the Shortest Path between Two Vertices

Solution: Find the Shortest Path between Two Vertices

Challenge: Remove Edge from a Directed Graph

Solution: Remove Edge from a Directed Graph

Graph Quiz: Test Your Understanding of Graphs

Introduction to Trees

38 Lessons

Trie

14 Lessons

Introduction to Heap

12 Lessons

Introduction to Hashing

32 Lessons

10.

Summary of Data Structures

2 Lessons

Course Author

Tackle anything you might face on a coding interview in JavaScript with absolute confidence.

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Catch up on everything you’ll need to ace your JavaScript interviews.

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Souvik Kundu

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Frequently Asked Questions

Which data structure is most asked in an interview?

Arrays and linked lists are the most commonly asked data structures in interviews because they form the foundation for many algorithmic problems. Additionally, hash tables (for fast lookups), stacks, queues, and binary trees (like binary search trees and heaps) are frequently discussed due to their importance in solving various practical problems. Mastery of these core data structures is crucial as they often serve as building blocks for more complex algorithms and solutions.

Can I use JavaScript for DSA interviews?

You can use JavaScript for data structures and algorithms (DSA) interviews. JavaScript is increasingly accepted, especially for front-end and full-stack developer roles, because it demonstrates versatility and familiarity with web technologies. The language offers built-in data structures like arrays, objects, sets, and maps, sufficient for solving most DSA problems. However, JavaScript lacks some lower-level control than languages like C++ or Java, so be prepared to clearly explain your solutions and handle any performance considerations.

Is DSA easy in JavaScript?

Yes, DSA can be relatively easy in JavaScript due to its simple syntax, dynamic typing, and built-in data structures like arrays, objects, sets, and maps. These features make it straightforward to implement common algorithms and manipulate data. However, JavaScript lacks advanced data structures and low-level control in other languages, which might require creative approaches for certain problems. Overall, JavaScript is user-friendly for learning and practicing DSA concepts.

How many data structures are in JavaScript?

JavaScript has several built-in data structures: primitive types like Number, String, and Boolean, and non-primitive types like Object, Array, Map, Set, WeakMap, and WeakSet. Each data structure serves different purposes, such as arrays for ordered lists, objects for key-value pairs, maps for efficient key-value storage, and sets for storing unique values. These structures are versatile enough to handle most data manipulation needs in JavaScript.

How to prepare DSA in 10 days

To prepare for DSA in 10 days, focus on the most important topics:

Days 1–2: Master the basics of arrays, strings, and linked lists.
Days 3–4: Study stacks, queues, and hash tables, focusing on their operations and use cases.
Days 5–6: Learn about trees (binary trees, binary search trees) and graphs, including basic traversal algorithms (BFS, DFS).
Days 7–8: Understand sorting and searching algorithms, like quicksort, mergesort, and binary search.
Day 9: Practice dynamic programming basics and common problems (like the Fibonacci sequence).
Day 10: Review, take mock tests, and solve a mix of problems to reinforce your understanding.

Prioritize understanding concepts and practice problems daily to build speed and confidence.