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Data Structures for Coding Interviews in JavaScript

The ultimate guide to data structures for coding interviews in JavaScript. Developed by FAANG engineers to help you write better code and ace industry benchmarks.

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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 better code!

Data structures are amongst the very fundamentals of Computer Science and are often a core decision in developing efficient prog...Show More

Content

227 Lessons24 Quizzes65 Challenges

Introduction to Complexity Measures

22 Lessons

Learn how to use complexity measures to compare and analyze algorithm efficiency effectively.

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

25 Lessons

Unpack the core of array manipulation techniques, variable declaration differences, and coding challenges.

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

31 Lessons

Work your way through the basics, operations, and comparisons of singly and doubly linked lists.

Introduction to Stack/Queues

25 Lessons

Grasp the fundamentals of stack and queue operations, implementations, and practical challenges.

Introduction to Graphs

26 Lessons

Dig deeper into the fundamentals, implementation, and challenges of graphs and their applications.

Introduction to Trees

38 Lessons

Investigate tree fundamentals, properties, and various types for coding interviews in JavaScript.

Trie

14 Lessons

Build on trie data structure for efficient string operations, including insertion, search, and deletion.

Introduction to Heap

12 Lessons

Get familiar with heap data structures, their implementations, and solving related challenges.

Introduction to Hashing

32 Lessons

Unpack the core of hashing concepts, collisions, and hash table implementation. Explore practical challenges using hash tables.

10.

Summary of Data Structures

2 Lessons

Examine the differences and performance of linear vs. non-linear data structures.

Data Structures

Mock Interview

Premium

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

Coderust

Developed by MAANG Engineers

Every Educative lesson is designed by a 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.

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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

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.

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