Data Structures: Concepts | Algorithms | Implementation

Unlock the power of data structures for optimized coding and problem-solving!

What you'll learn

Fundamental concepts and operations of data structures.

Implementation and manipulation of arrays, strings, linked lists, stacks, queues, trees, and graphs.

Sorting algorithms with practical applications.

Advanced topics like Huffman encoding, AVL trees, and B-trees.

Real-world applications and coding challenges.

Requirements

Basic understanding of programming concepts. Familiarity with C programming language. Access to a development environment for coding practice.

Description

Dive into the world of data structures with this comprehensive course that covers everything from fundamental concepts to advanced implementations. Designed for aspiring developers, computer science enthusiasts, and professionals seeking to enhance their problem-solving abilities, this course offers a detailed exploration of arrays, linked lists, stacks, queues, trees, sorting algorithms, and graphs. By combining theoretical knowledge with practical coding exercises, you’ll gain the expertise to tackle real-world challenges and optimize your software solutions.Section 1: Introduction to Data StructuresIn this foundational section, you’ll grasp the importance of data structures in computer science. Starting with basic terminology and operations, you'll build a solid understanding of how data structures form the backbone of efficient programming and algorithms.Section 2: Data Structure ConceptsThis section introduces arrays and strings, essential linear data structures. You’ll learn one-dimensional and two-dimensional array manipulation, explore string operations like indexing, concatenation, and substring extraction, and delve into abstract data types and algorithm complexity.Section 3: Mastering Linked ListsExplore linked lists in-depth, starting with their representation and progressing to circular linked lists, node creation, and operations like insertion, deletion, and traversal. Learn how to represent and manipulate polynomials using linked lists and understand their advantages and limitations.Section 4: Stack Implementation and ApplicationsThis section focuses on stack operations, including push and pop, handling overflow and underflow, and practical implementation in linked stacks. Real-world applications such as postfix evaluation and infix-to-postfix conversion will be covered in detail.Section 5: Queue Concepts and VariationsUnderstand queues, their algorithms, and implementations, including circular and priority queues. Learn to distinguish between various queue types and their applications in real-time systems.Section 6: Sorting AlgorithmsDelve into sorting techniques like bubble sort, insertion sort, selection sort, merge sort, and quick sort. Each algorithm is explained with examples, programs, and analyses to ensure a thorough understanding of their workings and use cases.Section 7: Tree StructuresDiscover tree data structures, including binary trees, binary search trees, AVL trees, and B-trees. Learn about traversal techniques (preorder, inorder, postorder), Huffman encoding, expression trees, and tree-based data optimization.Section 8: Graph TheoryThe course concludes with an introduction to graph theory, covering graph terminology, representation, and traversal techniques. You'll understand how graphs solve complex real-world problems like network analysis and shortest path calculations.Conclusion:By the end of this course, you will have mastered data structures, enabling you to write efficient code and solve complex programming problems. With practical implementation and theoretical knowledge, you’ll be equipped to excel in coding interviews, software development, and academic projects.

Overview

Section 1: Introduction

Lecture 1 Introduction to data structure and Basic Terminology

Lecture 2 Data structure Operations

Section 2: Data Structure Concepts

Lecture 3 Array introduction

Lecture 4 One dimensional array program output

Lecture 5 Two dimension Array

Lecture 6 Two dimension Array Initialization And accessing

Lecture 7 Program for Two dimension Array Initialization And accessing

Lecture 8 String introduction Part 1

Lecture 9 String introduction Part 2

Lecture 10 Program for reading string

Lecture 11 String operations substring, indexing, concatenation

Lecture 12 String operations delete, replace

Lecture 13 String functions in C language

Lecture 14 Programs for string operations

Lecture 15 Programs for string operations continued

Lecture 16 Abstract Data Type

Lecture 17 Algorithm and its complexity

Lecture 18 Link List Introduction

Lecture 19 Representation of link list

Lecture 20 Representation of link list continued

Lecture 21 Circular link list and creation of node

Lecture 22 Operations on link list and Insertion of node at the beginning

Lecture 23 Operations on link list and Insertion of node at the beginning cont

Lecture 24 Inserting node at tail

Lecture 25 Inserting node at a given position Part 1

Lecture 26 Inserting node at a given position Part 2

Lecture 27 Inserting node at a given position remaining part

Lecture 28 Traversing link list

Section 3: More on Link List

Lecture 29 Deletion of node from a given link list Part 1

Lecture 30 Deletion of node from a given link list Part 2

Lecture 31 Implementation of link list

Lecture 32 Program for link list Part 1

Lecture 33 Program for link list Part 2

Lecture 34 Applications of link list

Lecture 35 Representing Polynomial using link list

Lecture 36 Addition of polynomial using link list

Lecture 37 Advantages and Disadvantages of link List

Lecture 38 Introduction to Stack

Lecture 39 Push and Pop Operartion

Lecture 40 Stack Overflow and Underflow

Lecture 41 Implementation of Stack Push and Pop

Lecture 42 Pus and Implementation of Stack Practical

Lecture 43 Minimizing Overflow and Linked Stack

Lecture 44 Implementation of Linked Stack

Lecture 45 Implementation of Linked Stack Part 1

Lecture 46 Implementation of Linked Stack Part 2

Lecture 47 Implementation of Linked stack Pop and Peek and Display

Lecture 48 Application of Stack Polish Notations

Lecture 49 Evaluation of Postfix Expression Using Stack

Lecture 50 Conversion of Infix to Postfix Expression Using Stack Part 1

Lecture 51 Conversion of Infix to Postfix Expression Using Stack Part 2

Section 4: Queue

Lecture 52 Introduction of Queue and Algorithm For Enqueue

Lecture 53 Introduction to Queue

Lecture 54 Algorithm For Operations On Queue

Lecture 55 Implementation of Queue Part 1

Lecture 56 Implementation of Queue Part 2

Lecture 57 Implementation of Linked Queue Part 1

Lecture 58 Implementation of Linked Queue Part 2

Lecture 59 Implementation of Linked Queue

Lecture 60 Circular Quque Part 1

Lecture 61 Circular Quque Part 2

Lecture 62 Dequeue

Lecture 63 Priority Queue Introduction

Lecture 64 Priority Queue Using One Way List Representation

Section 5: Sorting

Lecture 65 Priority Queue Part 1

Lecture 66 Priority Queue Part 2

Lecture 67 Sorting Introduction Bubble Sort Starts

Lecture 68 Bubble Sort Part 1

Lecture 69 Bubble Sort Part 2

Lecture 70 Bubble Sort Part 3

Lecture 71 Bubble Sort Part 4

Lecture 72 Bubble Sort Part 5

Lecture 73 Bubble Sort Part 6

Lecture 74 Bubble Sort Part 7

Lecture 75 Insertion Sort Part 1

Lecture 76 Insertion Sort Part 2

Lecture 77 Insertion Sort Part 3

Lecture 78 Insertion Sort Part 4

Lecture 79 Insertion Sort Part 5

Lecture 80 Insertion Sort Analysis

Lecture 81 Selection Sort Introduction

Lecture 82 Selection Sort Example

Lecture 83 Algorithm of Selection Sort

Lecture 84 Working of Selection Sort

Lecture 85 Exception of Program and Analysis of Selection Sort

Lecture 86 Divide and Conquer Approach and Merge Sort Introduction

Lecture 87 Merge Sort Algorithm, Example and Program

Lecture 88 Merge Sort Working Part 1

Lecture 89 Merge Sort Working Part 2

Lecture 90 Merge Sort Working Part 3

Lecture 91 Merge Sort Working Part 4

Lecture 92 Merge Sort Working Part 5

Lecture 93 Merge sort Analysis

Lecture 94 Quick Sort Introduction

Lecture 95 Quicksort Working Part 1

Lecture 96 Quicksort Working Part 2

Lecture 97 Quicksort Working Part 3

Section 6: Tree

Lecture 98 Tree Introduction

Lecture 99 Tree Basic Terms Part 1

Lecture 100 Tree Basic Terms Part 2

Lecture 101 Binary Tree

Lecture 102 Strictly and Complete Binary Tree

Lecture 103 Strictly and Complete Binary Tree Illustration

Lecture 104 Sequential Representation of Binary Tree

Lecture 105 Sequential Representation of Binary Tree Example

Lecture 106 Linked Representation of Binary Tree

Lecture 107 Operations on A Binary Tree

Lecture 108 Traversing A Binary Tree and Preordered

Lecture 109 Inorder Traversing

Lecture 110 Postorder Traversing

Lecture 111 Prorder Postorder Anf Inorder Example

Lecture 112 Binary Search Tree Introduction

Lecture 113 Bst Insertion Operation Example

Lecture 114 Bst Insertion Operation Part 1

Lecture 115 Bst Insertion Operation Part 2

Lecture 116 Bst Search Operation

Lecture 117 Inorder Traversal of Bst Part 1

Lecture 118 Inorder Traversal of Bst Part 2

Lecture 119 Preorder and Postorder Traversal of Bst

Lecture 120 Deletion From Bst Part 1

Lecture 121 Deletion From Bst Part 2

Lecture 122 Implementation of Bst

Lecture 123 Threaded Binary Tree

Lecture 124 Two Way Threading

Lecture 125 Introduction to Huffman Encoding

Lecture 126 Huffman Encoding Algorithm

Lecture 127 Huffman Encoding Example

Lecture 128 Expression Trees

Lecture 129 Avl Tree Introduction

Lecture 130 Multiway Searh Tree

Lecture 131 Avl Tree

Lecture 132 Introduction to B Tree

Lecture 133 B Tree Part 1

Lecture 134 B Tree Part 2

Lecture 135 B Tree Part 3

Lecture 136 B Tree Part 4

Lecture 137 B Tree Part 5

Lecture 138 B Tree Part 6

Lecture 139 B Tree Part 7

Lecture 140 B Tree Part 8

Lecture 141 B+ Tree

Section 7: Graph

Lecture 142 Graph Introduction

Lecture 143 Graphh Terminology Part 1

Lecture 144 Graphh Terminology Part 2

Computer science students. Aspiring software developers. Professionals seeking to enhance their coding skills. Anyone preparing for coding interviews or competitive programming.