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Data Structures Made Easy for Beginners
Rating: 4.3 out of 5(118 ratings)
1,848 students

Data Structures Made Easy for Beginners

Introduction course
Created byDrUsha G
Last updated 9/2024
English
English [Auto],

What you'll learn

  • Understand the basic concepts of Abstract datatype
  • Apply the concept of Linked list with singly, doubly and circular Linked list
  • Formulate the solution for Searching, deletion and Insertion in Linked List
  • Analyze the concepts of trees and binary trees

Course content

1 section • 9 lectures • 1h 45m total length

  • Abstract Data Type8:31

    Learn how abstract data types provide a high level view of data structures through abstraction, exposing operations like create, display, insert, delete, and modify, with arrays or linked lists.

  • Linked List13:19

    Explore linked lists, where each node holds data and a next pointer, offering dynamic size and flexible insertions. Learn singly, doubly, and circular variants, plus basic operations and node structures.

  • Problems in Linked List4:24

    Learn to delete nodes in a linked list at the beginning, middle, and end, and to search for data using traversal, head, next pointers, and position-based logic.

  • Doubly Linked List10:45

    Explore doubly linked lists, where each node stores data and pointers to next and previous nodes, and master insert, delete, and search operations, including beginning, end, and middle cases.

  • Circular Linked List14:59

    Explore circular linked lists, contrast with singly and doubly linked lists, and show tail next pointing to head, with insert at begin, end, middle, and delete, search, display.

  • Stack14:30

    Understand the stack data structure, including push, pop, peek, and overflow/underflow, and see real-world applications like backtracking, memory management, and balancing parentheses.

  • Queue19:10

    This lecture defines queue as an abstract data type with first in, first out behavior, using enqueue and dequeue at front and rear, and discusses linear and circular variants.

  • Tree Introduction and Binary Trees11:04

    Learn how trees structure data with root, nodes, leaves, and descendants, explore binary, full, complete, perfect trees, left and right skewed forms, and sequential versus linked representations.

  • Tower of Hanoi8:41

    Explore the Tower of Hanoi, a recursive puzzle that moves only the top disk between source, auxiliary, and destination to achieve 2^n-1 steps.

Requirements

  • No prerequisites needed. This course will teach you from basics of data structues

Description

Data structures are the backbone of efficient programming and algorithm development. This course is designed to provide students with a comprehensive understanding of fundamental data structures, focusing on abstract data types (ADTs) and linked lists. Throughout the course, students will explore the conceptual underpinnings, practical applications, and performance implications of these critical structures. By the end of the course, students will have a strong foundation in data organization and manipulation, equipping them with the skills necessary to solve complex computational problems.Students will learn about the concept of ADTs, which are a theoretical framework used to define data structures by specifying their behavior and operations without detailing their implementation. This section will cover key ADTs such as stacks, queues, lists, sets, and dictionaries. The course will emphasize the importance of ADTs in creating reusable, modular code that separates interface from implementation. The course will offer an in-depth exploration of linked lists, one of the most fundamental and versatile data structures in computer science. Students will study various types of linked lists, including singly linked lists, doubly linked lists, and circular linked lists. They will gain practical experience in implementing these structures. Students will analyze the performance trade-offs associated with different data structures, particularly linked lists. This includes understanding the time and space complexity of operations such as insertion, deletion, and traversal. The course will also compare linked lists with other data structures, such as arrays, to highlight their advantages and limitations in specific contexts.  The course will include hands-on programming assignments where students will implement various ADTs and linked lists in a programming language C. These assignments will reinforce theoretical knowledge by challenging students to solve problems using the appropriate data structures and to optimize their solutions for performance.

Who this course is for:

  • UG students, PG students, Phd students

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