Data Structures Training

Data Structures course is offered by Compuhelp. This is the Institute where students will feel more than expectation is being provided and the concept of true education is also being implemented. As we know Teaching or learning can not be accomplished by a Teacher only.

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Data Structures Syllabus:

• Data Structures: level-III
• Introduction to Data Structures.
• How to Write Algorithm.
• Types of Data Structures.
• Operations in Data Structures.
• Insertion
• Deletion
• Traversing
• Searching
• Sorting
• Space and Time complexity.
• Big O Notation.
• Big Omega Notation.
• Big theta Notation.
• Best, Average and Worst Case.
• Arrays
• Two Dimensional Array.
• Array of Pointers.
• Insertion
• Traversing
• Deletion
• Searching
• Linear Search
• Binary Search
• Sorting
• Bubble Sort
• Row-major and column-major order.
• Sparse Matrix.
• Linked List
• Dynamic memory allocation.
• What is Linked List?
• Requirement of Linked List.
• Singly Linked List(With all Operations).
• Doubly Linked List(With all Operations).
• Circular Linked List.
• Singly Circular
• Doubly Circular
• Header Linked List.
• Stack
• What is Stack?
• Push Operation in Stack.
• Pop Operation in Stack.
• Peek Operation in Stack.
• Stack by using Array.
• Stack by using Linked List.
• Stack Applications.
• Notations for Arithmetic Expression.
• Converting Infix to Postfix Expression.
• Reverse a string using stack.
• Queue
• Enqueue(Insertion in Queue).
• Dequeue(Deletion in Queue).
• Queue by using Array.
• Queue by using Linked List.
• Circular Queue.
• Applications of Queue.
• Round Robin Algorithm.
• Priority Queue.
• Recursion
• What is Recursion?
• Factorial of a number by Recursion.
• Tower of Hanoi.
• Trees
• Introduction to trees.
• Binary Tree.
• Properties of Binary Search Tree.           
• Types of Binary Tree.
• BST(Binary Search Tree).
• Heap Tree.
• AVL Tree with all Rotations.
• Heap Sort.
• Threaded Binary Tree Theory.
• M-way Tree.
• B Tree.
• B+ Tree.
• Graphs
• Graph Introduction.
• Representation of Graph by using Array and Linked List.
• Insertion of element in Graph.
• Deletion of element in Graph.
• BFS(Breadth First Search Traversal).
• DFS(Depth First Search Traversal).
• Shortest Path Algorithm.
• Spanning Tree.
• Sorting
• Selection Sort.
• Insertion Sort.
• Quick Sort.
• Merge Sort.
• Radix Sort.
• Hashing
• Hash Function.
• Direct Method.
• Division Method.
• Mid Square Method.
• Data Structures: Level-II
• Introduction to Data Structures.
• How to Write Algorithm.
• Types of Data Structures.
• Operations in Data Structures.
• Insertion
• Deletions
• Traversing
• Searching
• Sorting
• Space and Time complexity.
• Big O Notation.
• Arrays
• Two Dimensional Array.
• Array of Pointers.
• Insertion
• Traversing
• Deletion
• Searching
• Linear Search
• Binary Search
• Sorting
• Bubble Sort
• Linked List
• Dynamic memory allocation.
• What is Linked List?
• Requirement of Linked List.
• Singly Linked List(With all Operations).
• Doubly Linked List(With all Operations).
• Circular Linked List.
• Singly Circular
• Doubly Circular
• Header Linked List.
• Stack
• What is Stack?
• Push Operation in Stack.
• Pop Operation in Stack.
• Peek Operation in Stack.
• Stack by using Array.
• Stack by using Linked List.
• Stack Applications.
• Notations for Arithmetic Expression.
• Converting Infix to Postfix Expression.
• Reverse a string using stack.
• Queue
• Enqueue(Insertion in Queue).
• Dequeue(Deletion in Queue).
• Queue by using Array.
• Queue by using Linked List.
• Circular Queue.
• Applications of Queue.
• Recursion
• What is Recursion?
• Factorial of a number by Recursion.
• Tower of Hanoi.
• Trees
• Introduction to trees.
• Binary Tree.
• Properties of Binary Search Tree.           
• Types of Binary Tree.
• BST (Binary Search Tree).
• Heap Tree.
• AVL Tree with all Rotations.
• Heap Sort.
• Threaded Binary Tree Theory.
• Graphs
• Graph Introduction.
• Representation of Graph by using Array and Linked List.
• Sorting
• Selection Sort, Insertion Sort, Quick Sort.
• Data Structures: level-I
• Introduction to Data Structures.
• How to Write Algorithm?
• Types of Data Structures.
• Operations in Data Structures
• Insertion
• Deletion
• Traversing
• Searching
• Sorting
• Arrays
• Insertion
• Traversing
• Deletion
• Searching
• Linear Search
• Binary Search
• Sorting
• Bubble Sort
• Linked List
• Dynamic memory allocation.
• What is Linked List?
• Requirement of Linked List.
• Singly Linked List(With all operations).
• Doubly Linked List(With all operations).
• Circular Linked List.
• Singly Circular.
• Doubly Circular.
• Stack
• What is Stack?
• Push Operation in Stack.
• Pop Operation in Stack.
• Peek Operation in Stack.
• Stack by using Array.
• Stack by using Linked List.
• And more.