Data Structure using C/C++

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About Course

Data structures serve as the foundation for organizing and manipulating data in a way that optimizes computational efficiency. In the world of programming, choosing the right data structure can significantly impact the performance of algorithms and overall program execution. This course is designed to equip you with the knowledge and skills to harness the power of data structures, focusing on the widely-used programming languages C and C++.

Importance of Data Structures:

  • Efficiency Improvement: Data structures provide a systematic way to store and retrieve data, leading to improved efficiency in terms of time and space complexity. Understanding data structures allows programmers to design algorithms that perform optimally.
  • Problem Solving: Many real-world problems can be modeled and solved more effectively with the use of appropriate data structures. Learning to analyze problems and select the right data structure is a critical skill for any programmer.
  • Resource Management: Efficient resource management is crucial in software development. Data structures help in managing memory effectively, avoiding unnecessary overhead and ensuring optimal utilization of system resources.
  • Algorithmic Design: Algorithms are at the core of computer science, and data structures play a key role in algorithmic design. This course will enable you to design algorithms that are not only correct but also efficient.
  • Scalability: As programs and systems grow in complexity, the ability to scale becomes paramount. Well-designed data structures contribute to the scalability of software applications, allowing them to handle larger datasets and increased user loads.

 

What This Course Offers:

  1. Foundational Knowledge: Gain a solid understanding of fundamental data structures such as arrays, linked lists, stacks, and queues. Learn how to implement them and analyze their strengths and weaknesses.
  2. Algorithmic Thinking: Develop a mindset for algorithmic problem-solving. This course will guide you in choosing the right data structures and algorithms to solve various computational problems.
  3. Language Proficiency: Sharpen your programming skills in C and C++, two of the most powerful and widely used languages in system-level programming. Understand how these languages support efficient implementation of data structures.
  4. Real-world Applications: Explore practical applications of data structures through hands-on projects. Learn to apply your knowledge to solve real-world problems and enhance your programming portfolio.
  5. Preparation for Advanced Topics: Lay the groundwork for tackling more advanced topics in computer science, such as database management systems, artificial intelligence, and system design, which heavily rely on a strong understanding of data structures.
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What Will You Learn?

  • Fundamentals of Data Structures and Algorithms: Understand the basics of data structures, algorithms, and flowcharts.
  • Algorithm Analysis: Learn the fundamentals of algorithm analysis, including complexity and its implications.
  • Introduction to Data Structures: Explore the definition, classification, and types of data structures.
  • Memory Management: Understand static and dynamic memory allocation, functions, and recursion.
  • Arrays and Pointers: Gain proficiency in working with one-dimensional and multidimensional arrays, pointers, and strings.
  • Stacks and Queues: Learn about stacks, their implementation, operations, and applications. Understand queue implementation, operations, and different types like circular and priority queues.
  • Linked Lists: Master the representation and operations of linked lists, including singly linked, doubly linked, circular, and circular doubly linked lists.
  • Trees: Explore the fundamentals of trees, including binary trees, binary search trees, AVL trees, B trees, and B+ trees.
  • Graphs, Searching, and Sorting: Understand graph representation, traversals, and shortest path algorithms. Learn various searching and sorting techniques such as quick sort, bubble sort, merge sort, and selection sort.
  • Hashing: Delve into hash functions, types, collision resolution techniques, and the concept of perfect hashing.

Course Content

Introduction
Algorithms and Flowcharts, Basics Analysis on Algorithm, Complexity of Algorithm, Introduction and Definition of Data Structure, Classification of Data

  • Algorithms and Flowcharts
    00:00
  • Basics Analysis on Algorithm, Complexity of Algorithm
    00:00
  • Introduction and Definition of Data Structure
    00:00
  • Classification of Data, Data Types
    00:00
  • Types of Data Structure
    00:00
  • Static and Dynamic Memory Allocation
    00:00
  • Function and Recursion
    00:00

Fundamental data structures: Arrays and Linked lists

Linear data structures: Stacks and Queues

Trees

Graphs

Searching and Sorting

Hashing

Project

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