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Data Structures with C++: Enroll in Insta InfoTech's Training Institute

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Data structures in C++ are a vast and inevitable part of programming. Data Structure in C++ is another user defined data type that allows you to combine data items of different kinds. Structures are used to represent a record, and keep track of it in a data library.

The data operations we perform, including data representation, storage, and organization in a meaningful manner, are performed by the implementation of data structures.

The main difference between data structures in C and C++ is that in the C data structure, all members are public, while the members are private by default in C++. The c data structure cannot have member functions inside structures, while C++ data structures can have member functions with member variables.

  • Arrays Basics Introduction and Pointers: Basics
  • Structures and Pointers
  • Functions (Systern Defined and User Defined)
  • Array as Parameter, Structure as Parameter
  • Converting a C program to a C++ class
  • Object-Oriented Programming Concepts
  • C++ Class and Constructor

  • Algorithms and Performance Analysis
  • Time complexity
  • Space complexity

  • Specifying a valid range of values for a cell
  • Specifying a list of valid values for a cell
  • Specifying custom validations based on the formula for a cell
  • Advanced Excel Course - Working with Templates
  • Designing the structure of a template
  • Using templates for standardization of worksheets

  • Bubble sortSelection sort, or insert sort
  • Heap sort, merge sort, or quick sort

  • Introduction and Declarations of Array
  • Static vs Dynamic Arrays
  • Arrays Representation 2d and 3d
  • Insertion in array and Deletion in array
  • Reverse of array
  • Traversing of array element
  • Sequential and binary search

  • Introduction to Linked List
  • Linked List vs Array
  • Linked List Insertion/Deletion (Deleting a given key & Deleting a key at given position)
  • Reverse a linked list / Rotate and Generic Linked List in C
  • Merge two sorted linked lists and Merge Sort for Linked Lists

  • Circular Linked List Introduction and Applications,
  • Circular Singly Linked List Insertion
  • Circular Linked List Traversal
  • Split a Circular Linked List into two halves
  • Sorted insert for circular linked list

  • Doubly Linked List Introduction and Insertion
  • Delete a node in a Doubly Linked List
  • Reverse / Quick-Sort/Merge Sort for Doubly Linked List

  • Introduction to Stack
  • Reverse a String using Stack
  • Implement two stacks in an array
  • Reverse and Sort a stack using recursion
  • Design and Implement Special Stack Data Structure
  • Implement Stack using Queues
  • Design a stack with operations on middle element
  • Sort a stack using recursion

  • Queue Introduction and Array Implementation
  • Linked List Implementation of Queue
  • Applications of Queue Data Structure
  • Priority Queue Introduction
  • Introduction, Applications & Implementation of Deque using circular array
  • Implement Queue using Stacks

  • Introduction to Strings
  • Finding Length / Changing Case of a String/ Counting Words and Vowels in a String
  • Validating and Reversing a String
  • Comparing Strings and Checking Palindrome
  • Finding Duplicates in a String & by using Bitwise Operations
  • Permutation of String

  • Binary Tree Introduction and Its Types & Its Properties
  • Applications of tree data structure
  • Tree Traversals and BFS vs DFS for Binary Tree
  • Diameter of a Binary Tree & Maximum width of a binary tree
  • Inorder Tree Traversal without Recursion and without stack!
  • Threaded Binary Tree & Connect nodes at same leve

  • Inorder predecessor and successor for a given key in BST
  • Check if a binary tree is BST or not & Merge two BSTs with limited extra space
  • Two nodes of a BST are swapped, correct the BST
  • Find a pair with given sum in a Balanced BST
  • Merge Two Balanced Binary Search Trees

  • Binary Heap/Binomial Heap/Fibonacci Heap
  • Heap Sort/Sort an almost sorted array/Topological Sorting
  • K'th Largest Element in an array

  • Hashing Introduction
  • Print a Binary Tree in Vertical Order
  • Union and Intersection of two Linked Lists

  • Graph and its representations
  • Breadth & Depth First Traversal for a Graph
  • Detect Cycle in a Directed and Un-Directed Graph
  • Longest Path in a Directed Acyclic Graph

  • Segment Tree: Segment Tree | Set 1 (Sum of given range)
  • Segment Tree | Set 2 (Range Minimum Query)
  • Tree | (Insert and Search) & Tree | (Delete)

  • Two Dimensional Binary Indexed Tree or Fenwick Tree
  • Binary Indexed Tree: Range Updates and Point Queries and Range Queries

  • Suffix Array nLogn Algorithm
  • kasai's Algorithm for Construction of LCP array from Suffix Array
  • Suffix Tree Introduction
  • Generalized Suffix Tree, Build Linear Time Suffix Array using Suffix Tree
  • Searching All Patterns

  • Diagonal Matrix and C++ class for Diagonal Matrix
  • Lower Triangular Matrix Row-Major Mapping & Column-Major Mapping
  • Upper Triangular Matrix Row-Major Mapping & Column-Major Mapping
  • Symmetric Matrix, Toeplitz Matrix Tri-Diagonal and Tri-Band Matrix
  • Menu Driven Program for Matrices and by Using Functions

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