JavaScript developers
You already build with JavaScript, but you’re unsure which structure to reach for when requirements shift from “store data” to “store it efficiently.” This course gives you a reliable decision-making toolkit.
JavaScript Data Structures - The Fundamentals
Learn all the core basics about JS data structures - both built-in ones like Maps, Sets or Arrays as well as custom ones like Linked Lists, Trees, Graphs etc.
Course Overview
About This Course
You can write JavaScript that “works” and still feel stuck the moment you need to choose the right structure to store, search, or organize data. Arrays and Objects are familiar—until performance questions, interview prompts, or more complex relationships show up.
In this course, you’ll connect the dots between what JavaScript gives you out of the box and what you can build yourself when the built-ins aren’t enough. You’ll get clear explanations of how each structure behaves, paired with practical examples that make the trade-offs feel obvious instead of abstract.
By the end, you’ll be able to pick a structure with confidence, implement it when needed, and explain why it’s the right choice. You’ll also be ready to reason about runtime costs as you work, so you can write solutions that scale and communicate your decisions in interviews and real projects.
What You'll Learn
A focused tour of JavaScript’s built-in structures plus the custom ones you’re expected to recognize, implement, and analyze in real problem-solving.
Use built-ins well
Choose between Arrays, Objects, Maps, and Sets based on the operations you need, and explain the practical consequences of each choice when storing and retrieving data.
Implement linked structures
Build Linked Lists and use them as a foundation for other patterns, so you can model data that changes frequently without relying on contiguous array storage.
Build stacks and queues
Create Stacks and Queues from scratch and apply them to problems where order of processing matters, such as LIFO vs FIFO workflows.
Create hash tables
Implement a Hash Table and understand how hashing affects lookup behavior, so you can reason about fast access patterns beyond plain Objects.
Work with trees
Construct Basic Trees, Binary Search Trees (BST), and AVL Trees, and decide when you need ordering, balancing, or hierarchical modeling for your data.
Model graphs and heaps
Build Graphs as well as Heaps and Priority Queues, and use them to represent networks and prioritized processing where “next best” selection is central.
Ready to get started?
Prerequisites
Basic understanding of JavaScript algorithms.
You should understand time complexity and Big O notation.
Who Is This Course For?
Interview candidates
You’re preparing for technical interviews and want to confidently explain how structures work and why you’d choose one over another. This course helps you speak clearly about trade-offs and performance.
Algorithm learners
You’ve started learning algorithms and keep running into unfamiliar structures like trees, heaps, or graphs. This course fills that gap so the problems stop feeling like they’re written in a different language.
Curriculum Overview
Start NowPreview the structure and pacing of this course before you begin.
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JavaScript Data Structures - The Fundamentals
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