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Data Structure in C

Course Overview

The Data Structure in C course is designed to help learners understand how data is organized, manipulated, and optimized for efficient computing. You will learn problem-solving techniques, memory management, and how to write optimized programs used across IT, product development, and engineering roles.

What You Will Learn?

Introduction to C Programming
  • Structure of a C program
  • Variables, constants & data types
  • Input/output operations
  • Operators & expressions
  • Conditional statements (if–else, switch)
  • Looping statements (for, while, do-while)
  • User-defined functions & recursion
  • Arrays & strings
  • What are Data Structures?
  • Types of Data Structures (Primitive & Non-primitive)
  • Time & space complexity basics (Big-O notation)
  • Dynamic memory allocation (malloc, calloc, realloc, free)
  • Arrays

One-dimensional & multi-dimensional arrays

Searching (linear, binary)

Sorting techniques (bubble, selection, insertion, merge sort basics)

  • Linked Lists

Singly linked list (creation, insertion, deletion, traversal)

Doubly linked list

Circular linked list

Applications of linked lists

  • Stacks

Concept of LIFO

Stack implementation using arrays & linked lists

Stack operations (push, pop, peek)

Applications: expression evaluation, parentheses checking

  • Queues

Concept of FIFO

Simple queue implementation

Circular queue

Priority queue

Deque (double-ended queue)

Trees

  • Introduction to trees
  • Binary trees & binary search trees (BST)
  • Tree traversals (inorder, preorder, postorder)
  • AVL tree basics

Graphs

  • Graph terminologies
  • Representation (adjacency list, adjacency matrix)
  • Graph traversals (BFS, DFS)
  • Real-world applications
  • Searching: Linear, Binary
  • Sorting: Bubble, Selection, Insertion, Merge, Quick Sort
  • Algorithm complexity & performance comparison
  • Handling messy/real datasets: data cleaning, preprocessing, dealing with missing or inconsistent data

  • End-to-end mini-projects (e.g. dataset from finance/retail/health/business) — from data ingestion → cleaning → analysis → visualization → insights & reporting

  • Build a “portfolio project” as part of course assessment (capstone)

Course Curriculum

2 Months

Basic - Advance

English, Bengali

After Completed

12th Pass/any Graduate

Algorithm Developer

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