70+ JavaScript Challenges - Data Structures and Algorithms

Instructor: Packt - Course Instructors

What you'll learn

  •   Solve 70+ coding challenges covering essential data structures and algorithms
  •   Optimize JavaScript code by understanding time and space complexity
  •   Implement recursion, graph traversal, and sorting algorithms effectively
  •   Master problem-solving techniques for coding interviews and assessments
  • Skills you'll gain

  •   Data Structures
  •   Javascript
  •   Performance Tuning
  •   Debugging
  •   Graph Theory
  •   Development Environment
  •   Computational Thinking
  •   Computer Science
  •   Algorithms
  • There are 11 modules in this course

    The journey begins with fundamental concepts, such as recursion and higher-order functions, before progressing to essential data structures like stacks, queues, linked lists, hash tables, and binary trees. You'll implement each concept through interactive challenges that reinforce learning. You'll also explore time and space complexity, ensuring you write optimized code. As you advance, you'll tackle graph algorithms, sorting techniques, and in-depth exercises on searching and traversal methods. With each challenge, you'll enhance your ability to write efficient JavaScript code while developing key skills needed for coding interviews and technical assessments. This course is ideal for JavaScript developers, coding enthusiasts, and those preparing for technical interviews. A basic understanding of JavaScript syntax is recommended, but no prior experience in data structures and algorithms is required. Whether you're a beginner looking to level up or an intermediate developer sharpening your skills, this course will take your coding expertise to new heights.

    Basic Challenges Part 1

    Basic Challenges Part 2

    Higher Order Array Methods

    Recursion

    Time and Space Complexity

    Hash Tables, Maps, and Sets

    Stacks, Queues, and Linked Lists

    Binary Trees, BST, and Graphs

    Sorting Algorithms

    Wrap Up

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