Colt Steele

    JavaScript Algorithms and Data Structures Masterclass

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    JavaScript · Online Course

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    The JavaScript Algorithms and Data Structures Masterclass, created by industry veteran Colt Steele, serves as the ultimate roadmap for developers looking to bridge the gap between building basic applications and mastering computer science fundamentals. This comprehensive program is specifically designed for self-taught software engineers, bootcamp graduates, and traditional computer science students who want to excel in highly competitive technical interviews. By leveraging JavaScript, the course makes complex algorithmic concepts accessible to front-end and full-stack developers without requiring them to learn Java or C++ first. Throughout the lessons, learners dive deep into Big O notation to analyze code efficiency, master essential problem-solving patterns such as frequency counters and sliding windows, and implement classical data structures from scratch. You will build singly and doubly linked lists, binary search trees, binary heaps, hash tables, and graphs. Additionally, you will conquer challenging sorting and searching algorithms, shifting your mindset from merely writing code that works to writing optimized, scalable code. This course is an essential asset for anyone aiming to ace their next coding whiteboard challenge.

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    Colt Steele

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    Colt Steele is a developer and online educator renowned for making complex programming concepts accessible to millions of students worldwide. With a background as a professional boot camp instructor and curriculum director, Colt transitions traditional, high-intensity classroom environments into highly structured, engaging online courses. His teaching philosophy centers on hands-on practice, interactive coding exercises, and breaking down intimidating topics like JavaScript algorithms, Python, and modern web frameworks into digestible, logical steps. Rather than focusing solely on syntax, Colt emphasizes problem-solving and real-world application, ensuring students build actual projects they can showcase in their portfolios. Known for his approachable tone, humor,…Show more

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    Program Overview

    Online Course

    Learning format

    JavaScript

    Subcategory

    $59.99

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    What You'll Learn

    • Analyze the time and space complexity of different algorithms using Big O notation to write highly optimized JavaScript code.
    • Implement a wide range of custom data structures from scratch in ES6 JavaScript, including Singly and Doubly Linked Lists, Binary Search Trees, and Heaps.
    • Master multiple sorting algorithms, including elementary approaches like Bubble, Selection, and Insertion sort, alongside advanced algorithms like Merge, Quick, and Radix sort.
    • Apply structured problem-solving patterns—such as the frequency counter, multiple pointers, sliding window, and divide-and-conquer strategies—to break down complex interview challenges.
    • Build and traverse complex non-linear data structures such as Graphs and Trees using Depth-First Search (DFS) and Breadth-First Search (BFS) techniques.
    • Master recursion to solve intricate programming problems that require self-referential functions, understanding how the call stack manages memory.

    Best For

    • Developers preparing for technical whiteboard interviews at top tech companies.
    • Self-taught programmers and bootcamp graduates aiming to fill gaps in computer science fundamentals.
    • Front-end or full-stack developers who want to master algorithmic efficiency without switching to C++ or Java.
    • Engineers who want to transition from writing functional code to building highly optimized, scalable software.

    Not For

    • Complete programming beginners who have not yet learned the basics of JavaScript syntax and control flow.
    • Learners looking for a practical framework-specific course, such as React or Node.js development.
    • Students seeking a purely theoretical course that focuses on academic math proofs rather than practical implementation.
    • Experienced software engineers who are already experts in data structures and algorithm analysis.

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