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Master Data Structures and Algorithms with C++ Programming

Data Structures and Algorithms (DSA) using C++ are essential for writing efficient, optimized software. At TechnoPaat, the Data Structures Using C++ course builds a strong foundation through hands-on coding, focusing on practical implementation and performance thinking.

Begin with the essentials of C++ and complexity analysis, then implement core structures and algorithms: arrays, vectors, linked lists, stacks, queues, trees, heaps, hash tables, graphs, sorting, and searching. Practice Big-O reasoning, memory management, and STL usage to write clean, scalable solutions for interviews, contests, and real-world projects.

Master Data Structures and Algorithms with C++ Programming

Data structures in C++ organize and access information efficiently for real programs. They include arrays, stacks, queues, linked lists, trees, graphs, and STL containers like vector, list, map, and set for common patterns and performance needs.

A data structure defines how data is stored and operated on, while an algorithm is a step-by-step procedure to solve a problem. Implementing the right pair leads to faster, more memory-efficient solutions.

Key differences between C and C++ “structures” and data structures:

  • Encapsulation: In C, struct members have no access control; in C++, struct/class members can be public, private, or protected, enabling data hiding and safer interfaces.
  • Member functions: C structs cannot define functions inside the struct; C++ structs/classes can include constructors, methods, and destructors for RAII-style resource safety.
  • Generics: C uses void pointers and macros for generic containers; C++ uses templates and the STL to provide type-safe, reusable data structures and algorithms.
  • Initialization and features: C++ supports constructors, overloading, exceptions, and references, which simplify writing robust, reusable data structure implementations.

In practice, C++ provides richer language features and libraries (STL) to build and use data structures more safely and expressively, while C requires manual patterns and discipline to achieve similar outcomes.

  • 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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Whether you’re learning for travel, work, or personal/ professional growth, we’ll help you identify your objectives and match you with the perfect language course to meet your goals.

Choose the Right language Course for You

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From beginner basics to advanced fluency, we offer customized programs designed to suit your learning pace and style. Explore group classes, private lessons, or online options.

Learn with Experts and Advanced Tools

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Experience interactive lessons led by certified instructors using cutting-edge techniques and technology. Our immersive approach ensures rapid progress and lasting confidence.

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Engage in real-world practice, track your progress with regular assessments, and celebrate milestones as you master your chosen language. Success is within reach!

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