Data Structure Using  Programming

Master Data Structures – Mater Programming

Our well-thought and carefully designed Data Structure Using C course for B.Tech, BCA, MCA and Diploma (CS | IT ) students – lays down the foundation of logic building, algorithmic thinking, and high-performance coding. When you master Data Structures, you unlock the power to solve complex problems with clarity, speed, and precision.

⏱ 45 Days | 2 Hours Per Day  Intensive Training   🧪Hands-on Coding Sessions  📄 Certificate on Course Completion

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Full Syllabus in PDF

Data Structure Course Overview

Key Topics You Will Master:

Algorithm
Array & Linked List
Stack & Queue
Graph & Tree
  • Introduction to Data Structure & Algorithm
  • Working with Arrays & Linked List
  • Stack and Queue
  • Tree & Graph Implementation
  • Searching and Sorting the Data 
Fee - ₹3000

Trainer: Er. Manish Singh[ M.Tech(CSE) | 12+ Years in IT Industry]

Mode: Offline

Batches: Mon-Fri

Weekly Test: Sat

Why Do You Choose Our Data Structure Using C Programming Course?

Designed by experienced industry professionals to match real corporate expectations.

Strong Fundamentals

Start from basics of C & algorithum analysis so that every data structure concept becomes easy to understand.

Hands-On Implementations

Implement each data structure from scractch in C – no black box usage – so you fully understand how it works internally

Coding Question Practice

100+ problems from arrays, strings, linked list, stacks, queues, trees and graphs curated for placements

Doubt Support & Strategy

Help with debugging C code, choosing right approach, and optimizing solution for better time complexity.

Placement-Focused Data Structure

Patterns used in TCS, Infosys, Wipro, Product companies & online judges like hackerRank, CodeStudio, etc.

Certificate & Mini Projects

Build 2–3 portfolio-ready projects, then receive a completion certificate from Naomika Computer Consultancy.

Course Curriculam - From Scratch to Master

 A structured way to make the students learn Data Structure from basic to advance with hands-on approach.

Module 1: Introduction to Data Structure

Foundation of Data Structure

  • What is Data Structure?
  • What is an Algorithm?
  • Types of Data Structures
  • The Analysis of Algorithms
Module 2: Arrays

Staring Points of Data Structure

  • Single and Multi-Dimensional Arrays
  • Representation of Arrays
  • Sparse Matrices and Their Representations
  • Arrays Problem and Solution
Module 3: Linked Lists

Dynamic Data Structure 

  • Why Linked Lists?
  • Singly Linked Lists – Insertion, Deletion, Traversal
  • Doubly & Circular Linked Lists 
  • Linked Lists Problem and Solution
Module 4: Stacks

Linear Abstract Data Types 

  • How Stacks are used
  • Stack ADT
  • Implementation
  • Comparison of Implementations
Module 5: Queues

Working with Queue

  • What is a Queue?
  • Circular queue, priority queue basics
  • Implementation
  • Queues Problems & Solutions
Module 6: Trees

Hierarchical Structures 

  • Types of Binary Trees
  • Preoder, inorder & postorder traversals
  • Binary Search Trees (BSTs)
  • Threaded Binary Trees
Module 7: Priority Queues and Heaps

Efficient Selection 

  • Priority Queue ADT
  • Min-Heap & Max-Heap Concepts
  • Heapify Operation & Heap Sort
  • Priority Queue Implementation Using Heap
Module 8: Graphs

Introduction to Graphs

  • Applications of Graphs
  • Graph Representation: Adjacency Matrix, Adjacency List
  • Graph Traversals
  • Graph Algorithms:Prim’s Algorithm, Kruskal’s Algorithum 
Module 9: Sorting

Data Arrangement 

  • What is Sorting?
  • Why is Sorting Necessary?
  • Classification of Sorting Algorithms
  • Sorting: Problems & Solutions
Module 10: Searching

Navigation & Order

  • Why Do We Need Searching?
  • Sorted/Ordered Linear Search
  • Symbol Tables and Hashing
  • String Searching Algorithms
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