Interview candidates
You can code, but algorithm questions feel like guesswork under pressure. This course gives you a dependable way to reason through problems and justify your choices.
JavaScript Algorithms - The Fundamentals
Learn all the core basics and fundamentals about JavaScript algorithms, dive into tons of examples and get a plan for building and measuring algorithms.
Course Overview
About This Course
You can write code that works—and still feel stuck when a problem doesn’t come with a clear path. Interviews make that gap painfully obvious, but it also shows up in day-to-day development when you’re unsure whether your solution is actually a good one.
This course gives you a structured way to think: you’ll move step by step through the core ideas behind algorithms, using small, focused JavaScript examples and slide visualizations that make each building block click before you stack the next one on top.
By the end, you’ll be able to derive an algorithm for a new problem, explain why it works, and defend why it’s a better choice than alternatives. You’ll have a repeatable plan for tackling unfamiliar challenges, plus the foundation you need to build and optimize your own solutions with confidence.
What You'll Learn
You’ll build a practical algorithm toolkit in JavaScript: from analyzing performance to choosing the right problem-solving strategy for a given task.
Define algorithmic solutions
Turn a problem statement into a clear algorithmic approach you can implement in JavaScript. You’ll know what an algorithm is and how to reason about different kinds you’ll encounter.
Compare algorithm quality
Judge and compare multiple solutions to the same problem instead of stopping at the first working answer. You’ll be able to explain tradeoffs and pick a fitting approach for the constraints.
Analyze Big O
Determine time complexity and space complexity using Big O notation. You’ll derive different time complexities and use them to predict how solutions scale.
Use recursion effectively
Apply recursion as a tool for algorithm design, not a mystery. You’ll know when recursion is a good fit and how it changes the structure of your solution.
Apply dynamic programming
Optimize solutions with Dynamic Programming when repeated subproblems make naive approaches slow. You’ll recognize dynamic approaches and use them to improve performance.
Solve core problem types
Work confidently with the fundamental building blocks behind math, search, sorting, and sets/array algorithms. You’ll also distinguish between greedy and dynamic ways of solving problems.
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Prerequisites
Solid programming fundamentals are required; prior algorithm knowledge is not assumed.
Preferably, you’re comfortable reading and writing JavaScript, since it’s the language used throughout the course.
Who Is This Course For?
Growing developers
You want to take the next step beyond “it works” and start thinking in scalable solutions. This is for you if you’re ready to evaluate and improve your own approaches.
JavaScript learners
You’ve built a foundation in JavaScript and now want to strengthen your problem-solving mindset in the same language. You’ll get a clear path into algorithms without needing prior exposure.
Curriculum Overview
Start NowPreview the structure and pacing of this course before you begin.
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JavaScript Algorithms - The Fundamentals
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