Best Data Structures and Algorithms Course

Data structures provide a method for efficiently organizing and storing data within a computer system, enabling quick access and modification. There are many different types of data structures, including arrays, linked lists, stacks, queues, trees and graphs. Each has its own strengths and weaknesses, and choosing the right data structure for a particular task can be crucial to the success of a project. Some common operations that can be performed on data structures include inserting and deleting elements, searching for elements, and sorting.

In Our data structure course, you will be introduced to a variety of data structures and their implementations in the C/C++ programming language. You will learn about the strengths and weaknesses of each data structure, and how to choose the appropriate one for a given task. Common operations such as inserting, deleting, searching, and sorting will be covered, as well as advanced topics such as hashing and sparse matrix manipulation. In addition, you will learn about algorithms for working with data structures, including searching and sorting algorithms, and the use of infix and postfix notation.

Our course includes:

• Arrays: A collection of items stored at contiguous memory locations.
  • One Dimensional Array
  • Two Dimensional Array
• Linked lists: A linear collection of data elements, in which each element points to the next.
  • Singly Link List
  • Doubly link list
• Stacks: A last-in, first-out (LIFO) data structure.
  • Array Implementation of Stacks
  • Link List Implementation of Stacks
• Queues: A first-in, first-out (FIFO) data structure.
  • Array Implementation of Queues
  • Link List Implementation of Queues
  • double ended queues
  • circular queues
  • priority queues
• Trees: A hierarchical data structure made up of nodes, in which each node has zero or more child nodes.
  • Basic Terminology and Keywords
  • Array Representation of Binary Tree
  • Link list Representation of Binary Tree
  • Tree Traversals – in-order, pre-order and post-order
  • Binary Search Tree
  • Reconstruction of Binary Tree
  • Heap Tree
  • AVL Tree
• Graphs: A non-linear data structure consisting of nodes and edges.
  • Basic Terminology and Keywords
  • Directed and Undirected graphs
  • Adjacency matrix
  • Link List Representation of Graphs
  • DFS
  • BFS
  • Dijkstra’s algorithm
  • Kruskal’s algorithm
• Sorting and Searching Techniques
  • Selection sort
  • Insertion sort
  • Merge Sort
  • Quick sort
  • Radix sort
  • Bubble sort
  • Heap sort
  • Linear Search
  • Binary Search
• Sparse Matrix
• Hashs
• infix, prefix and postfix notations

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