Visualisation of Data Structures Algorithms in Python

Visualisation of Data Structures & Algorithms in Python, available at $54.99, has an average rating of 4.59, with 133 lectures, based on 16 reviews, and has 898 subscribers.

You will learn about Fundamental Understanding: Develop a strong foundation in the fundamental concepts of data structures, including arrays, linked lists, stacks, queues, and trees Algorithmic Analysis: Learn to analyze the time and space complexity of algorithms associated with various data structures Implementation Skills: Gain hands-on experience in implementing and manipulating data structures. Problem-Solving Abilities: Enhance your problem-solving skills by applying data structures to solve real-world problems. Optimization Techniques: Explore optimization strategies for data structures to achieve better performance. This course is ideal for individuals who are Computer Science Students: Both undergraduate and graduate students pursuing a degree in computer science or a related field will benefit from a data structures course as it forms a fundamental part of their curriculum. or Software Engineers and Developers: Professionals in the software development industry who want to enhance their programming skills and gain a deeper understanding of how to choose and implement appropriate data structures for various applications. or Coding Enthusiasts: Individuals who have a passion for coding and want to strengthen their problem-solving skills. or Technical Interview Preparation: As data structures questions are common in technical interviews for software engineering positions, individuals preparing for such interviews will find this course beneficial. or Anyone Interested in Software Development: Individuals interested in learning more about software development, regardless of their academic or professional background, can benefit from a data structures course to improve their programming skills. It is particularly useful for Computer Science Students: Both undergraduate and graduate students pursuing a degree in computer science or a related field will benefit from a data structures course as it forms a fundamental part of their curriculum. or Software Engineers and Developers: Professionals in the software development industry who want to enhance their programming skills and gain a deeper understanding of how to choose and implement appropriate data structures for various applications. or Coding Enthusiasts: Individuals who have a passion for coding and want to strengthen their problem-solving skills. or Technical Interview Preparation: As data structures questions are common in technical interviews for software engineering positions, individuals preparing for such interviews will find this course beneficial. or Anyone Interested in Software Development: Individuals interested in learning more about software development, regardless of their academic or professional background, can benefit from a data structures course to improve their programming skills.

Enroll now: Visualisation of Data Structures & Algorithms in Python

Summary

Title: Visualisation of Data Structures & Algorithms in Python

Price: $54.99

Average Rating: 4.59

Number of Lectures: 133

Number of Published Lectures: 119

Number of Curriculum Items: 133

Number of Published Curriculum Objects: 119

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Fundamental Understanding: Develop a strong foundation in the fundamental concepts of data structures, including arrays, linked lists, stacks, queues, and trees

Algorithmic Analysis: Learn to analyze the time and space complexity of algorithms associated with various data structures

Implementation Skills: Gain hands-on experience in implementing and manipulating data structures.

Problem-Solving Abilities: Enhance your problem-solving skills by applying data structures to solve real-world problems.

Optimization Techniques: Explore optimization strategies for data structures to achieve better performance.

Who Should Attend

Computer Science Students: Both undergraduate and graduate students pursuing a degree in computer science or a related field will benefit from a data structures course as it forms a fundamental part of their curriculum.

Software Engineers and Developers: Professionals in the software development industry who want to enhance their programming skills and gain a deeper understanding of how to choose and implement appropriate data structures for various applications.

Coding Enthusiasts: Individuals who have a passion for coding and want to strengthen their problem-solving skills.

Technical Interview Preparation: As data structures questions are common in technical interviews for software engineering positions, individuals preparing for such interviews will find this course beneficial.

Anyone Interested in Software Development: Individuals interested in learning more about software development, regardless of their academic or professional background, can benefit from a data structures course to improve their programming skills.

Target Audiences

Computer Science Students: Both undergraduate and graduate students pursuing a degree in computer science or a related field will benefit from a data structures course as it forms a fundamental part of their curriculum.

Software Engineers and Developers: Professionals in the software development industry who want to enhance their programming skills and gain a deeper understanding of how to choose and implement appropriate data structures for various applications.

Coding Enthusiasts: Individuals who have a passion for coding and want to strengthen their problem-solving skills.

Technical Interview Preparation: As data structures questions are common in technical interviews for software engineering positions, individuals preparing for such interviews will find this course beneficial.

Anyone Interested in Software Development: Individuals interested in learning more about software development, regardless of their academic or professional background, can benefit from a data structures course to improve their programming skills.

Embark on a journey through the intricacies of data structures with our comprehensive course, “Data Structures and Algorithms Unleashed.” Whether you’re a budding computer science student, a seasoned software engineer, or an aspiring coder, this course is designed to empower you with the knowledge and skills needed to make informed decisions about data organization in your programs.

Course Highlights:

1. Foundational Understanding: Delve into the core concepts of data structures, covering arrays, linked lists, stacks, queues, trees, and graphs. Gain a deep understanding of their properties, operations, and practical applications.

2. Algorithmic Analysis: Learn to analyze the time and space complexity of algorithms associated with various data structures. Understand how to make informed choices based on the nature of the problem and the efficiency requirements.

3. Hands-On Implementation: Translate theory into practice through hands-on coding exercises. Develop proficiency in implementing and manipulating data structures, reinforcing your understanding through practical application.

4. Problem-Solving Mastery: Elevate your problem-solving skills by applying data structures to solve real-world challenges. Learn to choose the most suitable data structure for a given problem, enhancing your ability to craft efficient and effective solutions.

5. Optimization Strategies: Explore optimization techniques for data structures to enhance performance. Understand how to design data structures that minimize time and space complexity, and optimize existing code for efficiency.

6. Interactive Learning: Engage in a dynamic learning environment with interactive quizzes, collaborative projects, and a supportive community. Receive personalized feedback to enhance your coding and problem-solving skills.

By the end of this course, you’ll not only possess a comprehensive understanding of various data structures but also the confidence to implement them effectively in your programming projects. Join us on a transformative journey to unleash the power of data structures and elevate your programming capabilities to new heights. Enroll now and become a master of organized information in the world of efficient programming!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Categories

Lecture 3: Operation

Lecture 4: Memory

Lecture 5: Complexity

Lecture 6: Efficiency

Lecture 7: Types

Chapter 2: Array

Lecture 1: Introduction

Lecture 2: Pros & Cons

Lecture 3: Analysis

Lecture 4: Coding: Array Insert

Lecture 5: Coding: Array Access

Lecture 6: Coding: Array Update

Lecture 7: Coding: Array Delete

Lecture 8: Coding: Array Search

Lecture 9: Two Dimensional Array

Lecture 10: Three Dimensional Array

Lecture 11: Coding: Array Matrix

Lecture 12: Coding: Matrix Access

Chapter 3: Linked List

Lecture 1: Introduction

Lecture 2: Pros & Cons

Lecture 3: Types

Lecture 4: Coding: Single Linked List

Lecture 5: Delete a node

Lecture 6: Insert At The front

Lecture 7: Insert At The End

Lecture 8: Insert After a Node

Chapter 4: Linked List Operations

Lecture 1: Coding: Create

Lecture 2: Coding: Insert Front

Lecture 3: Coding: Insert At The End

Lecture 4: Coding: Insert After a Node

Lecture 5: Coding: Delete a Node

Lecture 6: Coding: Display

Lecture 7: Coding: Operation

Chapter 5: Stack

Lecture 1: Introduction

Lecture 2: Operations

Lecture 3: Coding: Part 01

Lecture 4: Coding: Part 02

Chapter 6: Queue

Lecture 1: Introduction

Lecture 2: Tips

Lecture 3: Coding: Queue using Array

Lecture 4: Coding: Queue Using Array – Empty

Lecture 5: Coding: Queue using Array – Full

Lecture 6: Coding: Queue Using Array – Enqueue

Lecture 7: Coding: Queue Using Array – Dequeue

Lecture 8: Coding: Queue Using Array – Peek

Lecture 9: Coding: Queue Using Array – Display

Lecture 10: Coding: Queue Using Array – Operation

Chapter 7: Queue Using Linked List

Lecture 1: Coding: Setup Node

Lecture 2: Coding: Setup Queue

Lecture 3: Coding: isEmpty

Lecture 4: Coding: Enqueue

Lecture 5: Coding: Dequeue

Lecture 6: Coding: Peek

Lecture 7: Coding: Display

Lecture 8: Coding: Operation

Chapter 8: Tree

Lecture 1: Introduction

Lecture 2: Binary Tree

Lecture 3: Types of Binary Tree

Lecture 4: Binary Tree Representation

Lecture 5: Binary Tree – Array Representation

Lecture 6: Coding: Array Representation

Lecture 7: Linked Structure Representation

Lecture 8: Coding: Linked Structure Represenation

Chapter 9: Binary Search Tree

Lecture 1: Introduction

Lecture 2: BST – Operations

Lecture 3: Coding: BST

Lecture 4: Traversal

Lecture 5: Preorder

Lecture 6: Inorder

Lecture 7: Postorder

Lecture 8: Coding: Traversal

Chapter 10: Graphs

Lecture 1: Introduction

Lecture 2: Terminology

Lecture 3: Cyclic And Acyclic Graphs

Lecture 4: Adjacency Matrix

Lecture 5: Coding: Adjacency Matrix

Lecture 6: Adjacency List

Lecture 7: Coding: Adjacency List

Lecture 8: Traversal

Lecture 9: DFS – Algorithm

Lecture 10: BFS – Algorithm

Chapter 11: Recursion

Lecture 1: Introduction

Lecture 2: Pros & Cons

Lecture 3: Example

Lecture 4: Math Induction

Lecture 5: Math Function

Lecture 6: Recursion Algorithm

Lecture 7: Iterative

Instructors

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5 stars: 9 votes

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