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Data Structures and Algorithms with JavaScript: The Practical Guide

Learn to confidently solve complex programming challenges and ace coding interviews.

Bestseller 21,444+ Learners

Created By Scott Cosentino

  • Expert-Taught Videos

  • Guided Hands-On Exercises

  • Outcome Focus

  • Auto-Graded Assessments

  • Cloud Labs

  • Recall Quizzes

  • Real-Time Insights

    What You Will Learn

    • Understand the workflow of algorithms.
    • Gain an overview of structured data and algorithms.
    • Explore JavaScript Arrays and what can be done with arrays.
    • Understand and declare objects along with its properties .
    • Learn to set and retrieve the object properties.
    • Learn about JavaScript Objects, its instillation and functions.
    • Data structures and approaches to working with a stack.
    • Implement a queue and perform various functions.
    • Learn to distinguish between a stack and a queue.
    • Learn about Linked List and its implementation.
    • Learn about Non-linear data structures like graph, and uses.
    • Learn concepts like the Dijkstra algorithm and recursions.
    • Understand Tree data structure and its implementation.
    • Compare algorithm efficiencies in terms of time and space.
    • Learn concepts of stable algorithms and in-place algorithms.
    • Explore various algorithm techniques for solving problems.

    KnowledgeHut Edge

    Superior Outcomes

    Focus on skilled-based outcomes with advanced insights from our state-of-the art learning platform.

    Immersive Learning

    Go beyond just videos and learn hands-on with guided exercises, assignments and more.

    World-Class Instructors

    Course instructors and designers from top businesses including Google, Amazon, Twitter and IBM.

    Hands-On with Cloud Labs

    A fully-provisioned developer environment where you can practice your code right in your browser.

    Real-World Learning

    Get an intimate, insider look at leading companies in the field through real-world case studies.

    Industry-Vetted Curriculum

    Curriculum primed for industry relevance and developed with guidance from industry advisory boards.

    Curriculum

    Learning Objectives:

    Get introduced to Algorithms, Data Structures, and their significance. 

    • Algorithms?
    • What are Data Structures?
    • Why should You Learn Data Structures and Algorithms?

    Learning Objectives:

    Get an overview of Arrays in JavaScript and learn various. Learn Enumerating Arrays, Cloning and Resizing Arrays, and also familiarize yourself with common array methods.

    Topics
    • Basic Array Operations
    • Enumerating Arrays
    • Cloning and Resizing Arrays
    • Common Array Methods
    • Multidimensional Arrays
    • Common Array Interview Questions
    Video preview 3.

    Learning Objectives:

    Learn about JavaScript Objects and basic Object Initialization and Properties. Understand Inheritance and Object Methods, Getters, and Setters.

    • Basic Object Initialization and Properties
    • Object Methods, Getters, and Setters
    • Classes and Objects
    • Inheritance

    Learning Objectives:

    Understand what a Stack is, its implementation and prepare yourself with common Stack Interview questions.

    • What is a Stack?
    • Implementing a Stack – Array-based Approach
    • Implementing a Stack – Node-based Approach
    • Undo/Redo Operations
    • Common Stack Interview Questions

    Learning Objectives:

    Understand what a Queue is, its implementation and prepare yourself with common Queue Interview questions.

    Topics
    • What is a Queue?
    • Implementing a Queue – Array-based Approach
    • Implementing a Queue – Node-based Approach
    • Event Dispatching
    • Common Queue Interview Questions

    Learning Objectives:

    Understand what a Linked List is, its implementation and prepare yourself with common Linked List Interview questions.

    Topics
    • Linked Lists
    • Implementing a Singly Linked List
    • Implementing a Doubly Linked List
    • Common Linked List Interview Questions

    Learning Objectives:

    Understand what a Hash Table is, its implementation and prepare yourself with common Hash Table Interview questions.

    Topics
    • What is a Hash Table?
    • Implementing a Hash Table
    • Implementing Browser Local Storage
    • Common Hash Table Interview Questions

    Learning Objectives:

    Understand what a Graph is, its implementation and prepare yourself with common Graph Interview questions.

    Topics
    • What is a Graph?
    • Implementing a Graph
    • Implementing a Priority Queue
    • Dijkstra Algorithm
    • Recursion
    • Common Interview Questions

    Learning Objectives:

    Understand what a Tree is and its implementation. Learn about Web Page DOM and Traversals.

    Topics
    • What is a Tree?
    • Implementing a Tree
    • Implementing a Tree
    • Web Page DOM
    • Traversals

    Learning Objectives:

    Learn all about Algorithms, It's time and space complexity and learn how to compare Algorithm efficiencies. 

    Topics
    • Time Complexity
    • Space Complexity
    • Best, Worst and Average case
    • Comparing Algorithm Efficiencies
    • Complexity Classes

    Learning Objectives:

    Explore the various types of Sorting Algorithms and prepare yourself with common Sorting interview questions.

    Topics
    • Introduction to Sorting
    • Bubble Sort
    • Selection Sort
    • Insertion Sort
    • Merge Sort
    • Quick Sort
    • Heaps
    • Heap Sort
    • Common Sorting Interview Questions

    Learning Objectives:

    Learn about the various types of Searching Algorithms that enables locating specific data among a collection of data. 

    Topics
    • Introduction to Searching
    • Linear Search
    • Binary Search
    • Boyer Moore Algorithm
    • KMP Algorithm
    • Levenshtein Distance

    Learning Objectives:

    Explore the various types of Algorithm techniques to implementing a process or providing a one-stop solution to any given problem. 

    Topics
    • Algorithm Techniques for Solving Problems
    • Divide and Conquer Algorithm
    • Dynamic Programming
    • Greedy Algorithm
    • Backtracking Algorithm
    • Counting Inversion Problem
    • Common Prefix Problem
    • Rod Cutting Problem
    • Max Subarray Problem
    • Activity Selection Problem

    Prerequisites

    • Basic knowledge of JavaScript programming language is required.
    • Familiarity with fundamental programming concepts will be beneficial.
    • No prior experience with data structures and algorithms is necessary; the course is designed for beginners.

    What Learners Are Saying

    This course boosted my confidence and helped me accelerate my career as a Software Development Engineer. Thanks team KH.

    S
    Scott Riley

    Algorithm Developer

    The cloud lab practical exercises were exactly what I needed to improve my skills and become confident in the knowledge I gained through the course. 

    S
    Sneha Sharma

    JavaScript Developer

    I was looking for a course through which I could master Java. Glad to say that this course ticks all the right boxes.

    N
    Noah Cooper

    Computer Science Graduate

    Learning DSA with Java is important for any software engineer today. I'm glad I got to learn in such a convenient way.

    E
    Ellis McDonald

    Software Engineer

    Through this course, you can enhance your Data Structuring skills without going 'online' everyday, at your own pace. 

    P
    Peter Hudson

    Developer

    I never expected to learn data structures and algorithms through a self-paced course, that too from the comfort of home.

    D
    Declan Sharp

    Computer Science Graduate

    How Our Course Compares

    YouTube Videos Online Courses KnowledgeHut

    On-Demand Videos

    Immersive Learning Experience

    Hands-On with Cloud Labs

    Structured Curriculum

    Course Curated by Industry Experts

    Auto-Graded Assessments

    Lifetime Access to Courseware

    Our Course Advisor

    Scott Cosentino
    Scott Cosentino

    Software Engineer, Ex-Shopify

    Scott Cosentino is a software developer specializing in implementing secure software. He brings on board 10+ years of experience in a variety of roles including support, database, software development, and security analysis.

    Our Course Advisor

    Scott Cosentino is a software developer specializing in implementing secure software. He brings on board 10+ years of experience in a variety of roles including support, database, software development, and security analysis.

    Scott Cosentino
    Scott Cosentino

    Software Engineer, Ex-Shopify

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    Frequently Asked Questions

    Yes, you will experience KnowledgeHut's immersive learning in an on-demand format. This will include e-learning material to help you:

    • LEARN with recall quizzes, interactive ebooks, and case studies
    • ASSESS your skills progression with diagnostic, module-level, and final assessments
    • PRACTICE with real-world simulations and Cloud Labs
    • GAIN INSIGHTS with real-time reports and analytics on how you're progressing, your learning challenges, and suggestions of sections to revisit to build competency in the required areas.

    Yes, our online course is designed to give you flexibility to skill up as per your convenience. The course is delivered in a Self-Paced mode so that you can balance your work and learning as per your schedule.

    Yes! Upon passing this online course, you will receive a signed certificate of completion from KnowledgeHut. Thousands of KnowledgeHut alumni use their course certificate to demonstrate skills to employers and their networks.

    More than the certificate, however, you will get to showcase your newly acquired skills by working on real-world projects and adding these to your portfolio. KnowledgeHut’s online courses is well-regarded by industry experts, who contribute to our curriculum and use our tech programs to train their own teams.


    You can cancel your enrolment and receive refunds in line with our Cancellations and Refunds policy found at https://www.knowledgehut.com/refund-policy

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    • Software Requirements: Internet browser
    • System Requirements: Windows or equivalent environment with Internet browser and high-speed Internet connectivity.

    Yes, it does! In the unlikely event that you are not satisfied with the course, and you wish to withdraw within the first seven days, we’ll issue a 100% refund. Refer to our Online Self-Paced Courses Refund Policy for more details.