Data Structure
Learning data structures enhances problem-solving skills, optimizes algorithms, improves code efficiency, and fosters better understanding of organizing and manipulating data, critical for building scalable and efficient software solutions.
Duration | 2 months
Course Objective
The objective of a data structure course is to teach fundamental concepts, techniques, and implementations of data structures, empowering students to design, analyze, and optimize algorithms for efficient data manipulation.
Key Features
Duration : 2 months
Theory Lectures : 68
Practical Lectures : 62
Theory Notes : 
Certificate :
Project :
Thing You will Learn
1. Introduction
- What is Data Structure?
- What is an Algorithm?
- Type of Data Structure
- Primitive & Non primitive DS
- Linear and Non-Linear DS
- Operation on Data Structure
- Big-O Notation
- Time Complexity
2. IDEs
- Turbo C++
- Dev C++
- Code Block
- Visual Studio Code
3. Arrays
- Introduction to Array
- Define Array
- Accessing Array element
- Array Initialization
- One Dimensional Arrays
- Array Traversing
- Array Insertion
- Array Deletion
- Array Merging
- Array Searching
4. Algorithm
- Algorithms Basics
- Asymptotic Analysis
- Greedy Algorithms
- Divide and Conquer Algorithm
- Dynamic Programming
- Backtracking Algorithm
5. Searching
- Linear Search
- Binary Search
6. Sorting
- Introduction Sorting
- Bubble Sort
- Insertion Sort
- Selection Sort
- Merge Sort
- Quick Sort
- Radix Sort
7. Stack
- Introduction Stack
- LIFO Principle
- Stack operation
- Stack Methods
- Stack Push Operation
- Stack Pop Operation
8. Queue
- Introduction Queue
- Type of Queue
- Linear Queue
- Circular Queue
- Priority Queue
- Double Ended Queue
- FIFO Principle
- Queue Operation
- Array implementation of queue
9. Linked List
- Introduction Linked List
- Node Structure
- Type of Linked List
- Singly Linked List
- Doubly Linked List
- Circular Linked List
- Linked List Header
- Special Operations
- Next pointer
- Traversal
- Insertion
- Deletion
- Searching
- Sorting
10. Trees
- Introduction Tree
- Binary Trees
- Root Node
- Edge Node
- Depth of a Node
- Complete Binary Tree
- Traversing Binary Tree
- Preoder
- Inorder
- Postorder
- Header Nodes
- Binary Search trees
- Adding Node
- Deletion of node
- AVL Tree
- B Tree
- B+ Tree
11. Graphs
- Introduction Graphs
- Directed Graphs
- Spanning Tree
- undirected graph
- Adjacency Matrix
- Insertion in a Binary Tree
- Deletion in a Binary Tree
- Breadth First Search
- Depth First Search
12. Hash Table
- Introduction Hash Table
- Hashing
- Mapping
- Data Item
- Hash Method
- Search Operation
- Insertion Operation
- Deletion Operation
CCIT Notes
CCIT Notes book concise guide covering essential data structures in C, emphasizing practical implementation for efficient algorithm design and problem-solving. Ideal for beginners and intermediate learners.
- Theory Notes
- Course Book
- PPT Notes
Certificate
Elevate your career prospects with CCIT's Data Structures Certificate, recognized by leading companies. As an ISO-certified institution, our certificate features QR code verification, ensuring authenticity and opening doors to top-tier opportunities in the industry.
