Learn Algorithms And Data Structure From Zero To Hero in JS

Master Algorithms and Data Structures: A Comprehensive Course from Beginner to Expert

This course will guide you on a journey to understanding algorithms and data structures, starting from the fundamentals and progressing to advanced concepts. We'll cover a wide range of topics with both theoretical explanations and practical code implementation to ensure a thorough understanding.

Algorithms:

• Introduction to Algorithms: Learn the core meaning and importance of algorithms in computer science.
• Time and Space Complexity: Understand how to analyze the efficiency of algorithms.
• Big O Notation: Master Big O notation for algorithm analysis and performance comparison.
• Mathematical Foundations: Explore fundamental concepts like the Fibonacci sequence, Factorial of a number, and Prime numbers.
• Recursion: Delve into the concept of recursion and its application in solving problems.
  • Recursive Fibonacci: Implement the Fibonacci sequence using recursion.
  • Recursive Factorial: Calculate the factorial of a number using recursion.
• Essential Searching Algorithms:
  • Linear Search Algorithm: Learn and implement linear search.
  • Binary Search Algorithm: Implement efficient binary search for sorted data.
• Sorting Algorithms:
  • Bubble Sort with Implementation: Understand and implement the bubble sort algorithm.
  • Insertion Sort with Implementation: Learn and implement the insertion sort algorithm.
  • Quick Sort with Implementation: Implement the highly efficient quick sort algorithm.
  • Merge Sort with Implementation: Learn and implement the merge sort algorithm.

Data Structures:

• Introduction to Data Structures: A foundational overview of data structures.
• Arrays: Understand and work with arrays.
• Objects: Learn about object-oriented data structures.
• Maps: Explore key-value data structures using maps.
• Sets: Understand and utilize set data structures.
• Stacks: A comprehensive overview of stacks with implementation.
• Queues: A comprehensive overview of queues with implementation.
• Optimized Queue: Learn about optimized queue implementations.
• Circular Queue with Implementation: Implement a circular queue.
• Linked Lists: A detailed introduction to linked lists.
  • Linked List Classes: Implement linked list classes for efficient management.
  • Linked List Operations:
    • Linked List Append: Add elements to the end of a linked list.
    • Linked List Print Values: Display the values of a linked list.
    • Linked List Prepend: Add elements to the beginning of a linked list.
    • Linked List Insert: Insert elements at a specific position.
    • Linked List Remove with Index: Remove elements based on their index.
    • Linked List Remove with Value: Remove elements based on their value.
    • Linked List Search: Search for elements within a linked list.
    • Linked List Reverse: Reverse the order of elements in a linked list.
  • Linked List with Tail and Head: Implement linked lists with tail and head pointers.
• Implementations using Linked Lists:
  • Implement Stack using Linked List: Build a stack data structure using linked lists.
  • Implement Queue using Linked List: Build a queue data structure using linked lists.
• Doubly Linked List: Understand and implement doubly linked lists.
• Hash Tables: A comprehensive overview of hash tables.
  • Hash Table Function: Implement a hash function.
  • Hash Table Set Function: Implement the set function for hash tables.
  • Hash Table Get Function: Implement the get function for hash tables.
  • Hash Table Remove Function: Implement the remove function for hash tables.
  • Hash Table Display Function: Display the contents of a hash table.
  • Hash Table Collision: Understand and handle hash table collisions.
• Trees: A foundational overview of trees.
• Binary Search Trees: A detailed overview of binary search trees.
  • Binary Search Tree Classes: Implement binary search tree classes.
  • Binary Search Tree Operations:
    • Binary Search Tree Insert: Insert elements into a binary search tree.
    • Binary Search Tree Search: Search for elements within a binary search tree.
    • Binary Search Tree Depth First Search (PreOrder): Implement pre-order traversal.
    • Binary Search Tree Depth First Search (InOrder): Implement in-order traversal.
    • Binary Search Tree Depth First Search (PostOrder): Implement post-order traversal