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DevelopmentSoftware EngineeringData Structures

Introduction to Data Structures and Algorithms -By Animation

Data Structures and algorithms: Queue, Stack, Linked List, Graphs, Trees, Heap, Sorting Algorithms, Searching Algorithms
Rating: 4.5 out of 54.5 (17 ratings)
75 students
Created by Mehdi Hatamian
Last updated 5/2022
English
English

What you'll learn

  • learn most demanded topics in data structure and algorithms through live animation
  • Learn complex topics in a simplified manner
  • Develope analytical skills by turning complexity into simplicity
  • Queue, Stack, Linked List, Graph Theory, Spanning Trees, Minimum Spanning Trees (Prim's and Kruskal's), Graph Traversal(BFS and DFS), Sorting Algorithms, etc.
  • Learn most popular sorting and searching algorithms and their implementation through live animation in Python

Requirements

  • Basic Understanding of python programmimng language for sorting and searching algorithms
  • No experience with data structures or algorithms is required

Description

In this course, you will learn about the most popular topics corresponding to data structures and algorithms through live animation. The data structure is the key component of Computer Science and is used in the areas of artificial intelligence, operating systems, graphics, etc. This course aims to turn complexity into simplicity via illustrations and live animation. Visualization of data structures is provided for the most popular topics, such as queue, stack, linked list, graphs, trees, heap data structure, sorting algorithms, and searching algorithms. This course is provided for anyone who is interested in data structure and algorithms. All sorting and searching algorithms are covered by the implementation. The main programming language is based on Python. However, very basic knowledge about programming skills is required, and this knowledge is only required for sorting and searching algorithms in which they are discussed with Python programming language. All lectures are discussed from scratch and don't be afraid if you think your knowledge is not enough for this course. In fact, both implementation and illustrations are discussed in a simple manner. I hope you enjoy this course.

The most popular topics that are covered are:

  1. Queue

  2. Stack

  3. Linked List

  4. Graph Theory

  5. Spanning Trees

  6. Minimum Spanning Trees (Prim's and Kruskal's)

  7. Graph Traversal (BFS and DFS)

  8. Sorting Algorithms

  9. Searching Algorithms

  10. Heap Data Structure

  11. Introduction to Trees

  12. Binary Search Trees (BST)

  13. Tree Traversal (Preorder, Inorder, Postorder)

Do not hesitate to ask if you have any questions.

Who this course is for:

  • Anyone who is interested in learning Data Structure and Algorithms
  • Students currently studying computer science

Instructor

Mehdi Hatamian
Computer Science
Mehdi Hatamian
  • 4.4 Instructor Rating
  • 25 Reviews
  • 953 Students
  • 2 Courses

My name is Mehdi Hatamian, and I hold a master's degree in computer science. I always try to find a solution to problems. My ambition is to turn complexity into simplicity by improving one's visualization skills. Recently I put a lot of effort into creating a special course about Data Structure and Algorithms. I put more than one year and more than 2000 hours creating this course. I hope you enjoy that.

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