Data Structures for Coding Interviews in JavaScript
Everything you need to crack JavaScript coding interviews in one place. Work through real interview patterns, sharpen your problem-solving skills, and walk into your next interview fully prepared.
- Approach JavaScript Interviews with ConfidenceApply data structures to solve coding problems efficiently, demonstrating clear technical reasoning and strong problem-solving ability to interviewers.
- Analyze and Justify Algorithm EfficiencyApply Big O analysis to assess how your JavaScript solutions perform under different conditions and explain your reasoning clearly when interviewers probe your approach.
- Build and Apply Core Data Structures in JavaScriptDevelop hands-on proficiency in implementing and working with essential data structures, preparing you for the demands of real technical assessments.
- Recognize and Use Common Problem-Solving PatternsDevelop the ability to quickly recognize problem types and apply the right data structure patterns with confidence.
Fahim ul Haq is the co-founder and CEO of Educative, a hands-on learning platform for software engineers. He spent nearly a decade as a software engineer at Microsoft and Meta, where he gained deep experience building large-scale distributed systems. His work spanned Project Red Dog at Microsoft, which evolved into Microsoft Azure, and Scuba, Meta's real-time data analytics engine. In 2015, Fahim co-founded Educative to help developers get hands-on with new skills. Fahim's courses have helped hundreds of thousands of engineers learn System Design and prepare for technical interviews. Fahim earned his M.S. in Computer Science from the University of Washington in 2015.
Join 3.1 million developers at
What You'll Learn
- Identify and apply core data structures in JavaScript for effective problem-solving during coding interviews.
- Measure the time and space complexity of JavaScript solutions using Big O notation and apply this analysis when evaluating algorithmic trade-offs in interview settings.
- Implement and manipulate arrays, linked lists, stacks, queues, heaps, and hash tables in JavaScript for interview challenges.
- Recognize and apply common patterns in data structures to solve typical coding interview problems efficiently.
Learning Roadmap
2.
Algorithm Analysis for Interviews
Algorithm Analysis for Interviews
3.
Arrays
Arrays
25 Lessons
25 Lessons
4.
Linked Lists
Linked Lists
26 Lessons
26 Lessons
5.
Stacks
Stacks
17 Lessons
17 Lessons
6.
Queues
Queues
9 Lessons
9 Lessons
7.
Heaps & Priority Queues
Heaps & Priority Queues
9 Lessons
9 Lessons
8.
Hashing
Hashing
27 Lessons
27 Lessons
9.
Trees
Trees
13 Lessons
13 Lessons
10.
Graphs
Graphs
21 Lessons
21 Lessons
11.
Trie
Trie
10 Lessons
10 Lessons
12.
Interview Readiness and Strategy
Interview Readiness and Strategy
2 Lessons
2 Lessons
Fahim ul Haq
Software Engineer, Distributed Storage at Meta and Microsoft, Educative (Co-founder & CEO)
Trusted by 3.1 million developers working at companies
Anthony Walker
@_webarchitect_
Evan Dunbar
ML Engineer
Software Developer
Carlos Matias La Borde
Souvik Kundu
Front-end Developer
Vinay Krishnaiah
Software Developer
Built for 10x Developers











