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Data Structures Demystified: A Beginner’s Journey

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Nancy p

1:35:39

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  • 1 - Introduction.mp4
    08:47
  • 2 - Array Vs Linked List.mp4
    07:11
  • 3 - How to Create a Node and Allocate it Dynamically.mp4
    05:59
  • 4 - Implementation of Singly Link List.mp4
    07:11
  • 5 - SLL Insertion At the Beginning.mp4
    03:17
  • 6 - SLL Insertion At the End.mp4
    03:10
  • 7 - SLL Insertion At any Position.mp4
    05:50
  • 8 - Introduction to Graphs.mp4
    10:48
  • 9 - Topological Sorting.mp4
    04:09
  • 10 - Breadth First Search.mp4
    04:23
  • 11 - Depth First Search.mp4
    08:38
  • 12 - Prims Algorithm.mp4
    06:56
  • 13 - Kruskals Algorithm.mp4
    09:55
  • 14 - Shortest PathDijkstras Algorithm.mp4
    09:25
  • Description


    Mastering the basics of Data Structures, One Step at a Time

    What You'll Learn?


    • Understanding of Basic Data Structures
    • Analyze the complexity of algorithm
    • Memory Management and Data Storage
    • Problem-Solving with Data Structures and Practical Implementation
    • Static and Dynamic Data Structures
    • Understanding Advanced Data Structures (Trees and Graphs)

    Who is this for?


  • Beginners who are curious to learn basics in Data Structures
  • What You Need to Know?


  • C Programming Language
  • More details


    Description

    This course offers a deep dive into the world of data structures, a foundational aspect of computer science and programming. It is designed for beginners looking to strengthen their understanding of how data can be organized, stored, and accessed efficiently. The course covers the basics about data, the need for a data structures, its types and a variety of fundamental data structures such as arrays, linked lists, stacks, queues, trees, hash tables, and graphs.

    Participants will explore the properties and applications of each data structure, learning how to implement them in real-world scenarios. Emphasis is placed on understanding when and why to use particular structures to optimize algorithm performance. The course includes hands-on coding exercises and problem-solving sessions to reinforce theoretical concepts with practical experience. The course also explains how a particular data structure is used in solving a problem.

    By the end of the course, learners will be equipped with the knowledge to select the right data structure for any given problem, improve the efficiency of their code, and develop more sophisticated algorithms. This course is ideal for aspiring programmers, computer science students, or anyone who wants to build a solid foundation in data structures to advance their programming skills.

    Who this course is for:

    • Beginners who are curious to learn basics in Data Structures

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    Dr. P. Nancy has completed her Masters in Computer Science and Engineering in Bannari Amman Institue of Technology, Sathyamangalam. She was awarded doctorate degree from Anna University in 2019. She is an alumini of PSG College of Technology too. She has more than 14 years of teaching experience in various engineering colleges. Her areas of interest include Data Mining, Big Data, Social Network Analysis and Oncogenic studies. She has coordinated many international Conferences. She has published more than 25 research papers in various reputed and refereed journals and attended conferences both in India and Abroad. She has received funding from department of science and technology for her work in Social Network Analysis. Her research contribution facilitated the mankind with the identification of new rescuable cancer mutants. She has guided and guiding students in both UG and PG level. She is an active participant in accreditation process and also in teaching learning process.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 14
    • duration 1:35:39
    • Release Date 2024/12/05

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