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
Data Structure Course Overview
Key Topics You Will Master:
- Introduction to Data Structure & Algorithm
- Working with Arrays & Linked List
- Stack and Queue
- Tree & Graph Implementation
- Searching and Sorting the Data
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
Enroll for the Next Data Structure using C Programming Batch
Seats are limited to maintain personal attention.
Contact us now to reserve your spot and get detailed batch timings, fee structure and demo class information