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Master Data Structures and Algorithms with C++ Programming

Data Structures and Algorithms (DSA) using C++ is crucial for writing efficient and optimized programs. At Insta InfoTech®, our Data Structures Using C++ Course is designed to help students develop a strong foundation in DSA concepts with hands-on coding experience.

 

Data Structure Using C++
Data Structures using C++ — OOP-powered algorithmic thinking

Data Structures using C++

Master data structures in C++ using the full power of object-oriented design, templates, and the Standard Template Library — implementing linked lists, stacks, queues, trees, heaps, and graphs as classes, then comparing your hand-built structures against STL containers to understand the design decisions behind every data structure used in production software and technical interviews.

Certificate
You will get Medhavi Skills Certificate
Partnership
Insta Infotech × Medhavi Skills University
Recognition
NCrF aligned learning pathway
C++ data structure mastery stack
OOP-based Structure Implementation
Classes, templates, linked lists, stacks, queues
Implement
 
Trees, Heaps, Graphs & STL
BST, priority queues, DFS/BFS vs STL containers
Advanced
 
Sorting, Complexity & Algorithm Design
Big-O analysis, merge sort, quick sort, hashing
Optimise

Implement, advance, and optimise — every structure built as a C++ class, then benchmarked against its STL equivalent.

 
Program overview

More than using the STL.

This course goes beyond calling std::vector and std::map. Students implement every data structure from scratch as a C++ class using templates and OOP principles, understand how the STL containers they use daily are designed internally, and develop the algorithmic reasoning to analyse time and space complexity, choose the right structure, and write efficient solutions in interviews and production systems.

01 / Build, then compare to STL
Understand what you're calling.

Build each structure as a templated C++ class, then compare it to the equivalent STL container — so you understand exactly what std::vector, std::stack, and std::map are doing internally.

02 / Think in trade-offs
Array vs list. Heap vs BST. Why?

Develop the mental model that separates good engineers from great ones — the ability to reason about performance trade-offs between structures and defend your choice with Big-O analysis.

03 / Career signal
Interview and placement ready

DSA in C++ is the dominant language for placement drives, FAANG-style interview rounds, competitive programming, and core CS roles across product and systems companies.

 
Learning journey

A clearer learning flow.

The progression begins with C++ OOP and complexity theory, builds linear structures using templates, advances into trees, heaps, and graphs, and finishes with sorting algorithms, STL deep-dives, and a capstone competitive-style problem set.

Step 01
C++ OOP Review & Complexity
Classes, templates, constructors, destructors, operator overloading, Big-O notation, and time vs space complexity analysis.
Step 02
Arrays & Linked Lists as Classes
Templated dynamic arrays, singly linked list class, doubly linked list, and circular linked list — compared against std::vector and std::list.
Step 03
Stacks, Queues & Deques
Class-based stack and queue implementations, circular queue, deque, priority queue, and STL std::stack, std::queue comparison.
Step 04
Trees, Heaps & Graphs
Binary trees, BST, AVL trees, heap as a class vs std::priority_queue, graph representations, BFS, DFS, and shortest path intro.
Step 05
Sorting, Hashing & Capstone
Merge sort, quick sort, STL std::sort, hash tables vs std::unordered_map, and capstone algorithmic problem-solving project.
 
Syllabus

Structured for job-relevant output.

Topics organized into clean thematic groups so the section feels premium and is easy to scan.

OOP structures and STL
  • Templated classes — linked list, stack, queue
  • STL containers — vector, list, deque, set, map
  • Iterators, algorithms, and STL design patterns
Non-linear and advanced
  • BST, AVL trees, and heap implementations
  • Graph — adjacency list, BFS, DFS, shortest path
  • Priority queue vs std::priority_queue
Algorithms and launch
  • Sorting — merge, quick, STL std::sort comparison
  • Hashing — hash tables vs std::unordered_map
  • Capstone algorithmic problem-solving project
 
Certification and recognition

Make the credential visible, not buried.

You will receive a Medhavi Skills Certificate. The program is presented through Insta Infotech's partnership with Medhavi Skills University, and the learning pathway is aligned with the National Credit Framework (NCrF).

Why this matters
 
Certificate visibility
Now highlighted in the hero and repeated in the certification block.
 
University partnership
Medhavi Skills University is treated as a trust signal, not a small footer note.
 
Recognition cue
NCrF alignment is framed as a formal learner benefit.

  • 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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Certificate and Accreditation

Accreditation Certificate

Professional Diploma Certificate

Skills Certificate

Brand Registration

Trust & Validation

UGC-Recognized Skilled Qualifications for the Modern Global Workforce

University Certification
University Certification

Earn industry-relevant Certificates and Diplomas awarded by Medhavi Skills University, a UGC-recognized University. Insta Infotech is Approved Training Partner of Medhavi Skills University, ensuring quality education and credible certification.

Certificate Verification
Certificate Verification

All Certificates and Diplomas are digitally verifiable through Government of India platforms, including Skill India Digital Hub (MSDE), ABC.gov.in (Ministry of Education), and DigiLocker, ensuring authenticity and nationwide recognition.

Credit-Based Course (NCrF)
Credit-Based Course (NCrF)

Our courses are aligned with the National Credit Framework (NCrF) under the National Education Policy (NEP) 2020. Learners earn academic credits that strengthen their skill-based education profile and can be seamlessly transferred toward higher education pathways.

Global Recognition
Global Recognition

NCrF-aligned skill credits are recognized across the UK, EU, and Australian education systems. Through MSU’s global partnerships, learners benefit from dual certification opportunities and accelerated pathways to international degree programs.

Skill India Mission
Skill India Mission

Insta Infotech empowers learners with future-ready skills. Backed by the Skill India Mission and our academic partnership with Medhavi Skills University, we bridge the gap between education and employment through practical, hands-on learning and nationally recognized certifications.

Placement Support
Placement Support

Quality Skill Education — this is not merely a certificate of attendance, but a verified academic credential that enhances credibility and opens opportunities across MNCs, embassies, and government sectors.

Specializations

Skilled, Qualification, Certification

Course Credibility

Course Credibility

Our programs are certified by a recognized university, ensuring legal authenticity, academic validity, and strong professional acceptance. This means your qualification carries real value for employment, career advancement, and higher education.

Employability

Employability

Our programs combine practical training, real-world projects, and industry-relevant skills to prepare students for immediate employment. we ensure learners confidently transition from education to professional careers.

Global Standards

Global Standards

Our programs follow internationally aligned curricula and current industry requirements, ensuring learners gain globally relevant knowledge, practical competencies, and professional practices. This prepares students to adapt, compete, and work confidently.

National Alignment (Skill India)

National Alignment (Skill India)

Aligned with the Skill India Mission, we transform vocational training into a nationally recognized qualification, enabling our students to become part of India’s formal skilled workforce.

Academic Mobility (Credit-Based)

Academic Mobility (Credit-Based)

Through the National Credit Framework (NCrF), our courses are not merely extra-curricular; they are credit-earning modules that contribute directly toward your formal higher education pathway.

NEP 2020 Integration

NEP 2020 Integration

Aligned with the National Education Policy 2020, we transform traditional IT education into a multidisciplinary, skilled-based vocational pathway that enables students to earn formal academic credits.

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