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

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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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.