JavaScript Algorithms and Data Structures Masterclass

JavaScript Algorithms and Data Structures Masterclass

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What you will learn

  • Learn everything you need to ace difficult coding interviews

  • Master dozens of popular algorithms, including 6 sorting algorithms!

  • Implement 10+ data structures from scratch

  • Improve your problem-solving skills and become a stronger developer


Section 1: Introduction

Section 2: Big O Notation

Section 3: Analyzing Performance of Arrays and Objects

Section 4: Problem Solving Approach

Section 5: Problem Solving Patterns

Section 6: Recursion

Section 7: Searching Algorithms

Section 8: Bubble Sort

Section 9: Selection Sort

Section 10: Insertion Sort

Section 11: Comparing Bubble, Selection, and Insertion Sort

Section 12: Merge Sort

Section 13: Quick Sort

Section 14: Radix Sort

Section 15: Data Structures Introduction

Section 16: Singly Linked Lists

Section 17: Doubly Linked Lists

Section 18: Stacks + Queues

Section 19: Binary Search Trees

Section 20: Tree Traversal

Section 21: Binary Heaps

Section 22: Hash Tables

Section 23: Graphs

Section 24: Graph Traversal

Section 25: Dijkstra's Algorithm!

Section 26: Dynamic Programming

Course Description

The Missing Computer Science and Coding Interview Bootcamp


  • Basic knowledge of JavaScript syntax
  • NO experience with data structures or computer science needed!


Updated on November 2018 with a brand new section on Dynamic Programming!

This course crams months of computer science and interviews prep material into 20 hours of video. The content is based directly on the last semester of my in-person coding boot camps, where my students go on to land 6-figure developer jobs. I cover the exact same computer science content that has helped my students ace interviews at huge companies like Google, Tesla, Amazon, and Facebook. Nothing is watered down for an online audience; this is the real deal :)   We start with the basics and then eventually cover “advanced topics” that similar courses shy away from like Heaps, Graphs, and Dijkstra’s Shortest Path Algorithm

I start by teaching you how to analyze your code’s time and space complexity using Big O notation.  We cover the ins and outs of Recursion.  We learn a 5-step approach to solving any difficult coding problem. We cover common programming patterns. We implement popular searching algorithms. We write 6 different sorting algorithms: Bubble, Selection, Insertion, Quick, Merge, and Radix Sort.   Then, we switch gears and implement our own data structures from scratch, including linked lists, trees, heaps, hash tables, and graphs.  We learn to traverse trees and graphs and cover Dijkstra's Shortest Path Algorithm.  The course also includes an entire section devoted to Dynamic Programming.

Here's why this course is worth your time:

  • It's interactive -  I give you a chance to try every problem before I show you my solution.

  • Every single problem has a complete solution walkthrough video as well as accompanying solution file.

  • I cover helpful "tips and tricks" to solve common problems, but we also focus on building an approach to ANY problem.

  • It's full of animations and beautiful diagrams!

Are you looking to level-up your developer skills? Sign up today!

Who this course is for:

  • Anyone preparing for programming interviews
  • Anyone interested in improving their problem-solving skills
  • Anyone looking to become a better developer!