Data Structures and Algorithms

Data Structures and Algorithms, available at $44.99, has an average rating of 4, with 37 lectures, based on 41 reviews, and has 96 subscribers.

You will learn about The students will be able to understand the concepts in the organization of data efficiently. The students will be able to understand the concepts of data structures. The students will be able to use an algorithm by applying the concepts of data structures. The students will be able to develop different algorithms and use their learnt techniques. This course is ideal for individuals who are The intended people who want to learn the Data Structures and Algorithms to structure the data. It is particularly useful for The intended people who want to learn the Data Structures and Algorithms to structure the data.

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Summary

Title: Data Structures and Algorithms

Price: $44.99

Average Rating: 4

Number of Lectures: 37

Number of Published Lectures: 37

Number of Curriculum Items: 37

Number of Published Curriculum Objects: 37

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

The students will be able to understand the concepts in the organization of data efficiently.

The students will be able to understand the concepts of data structures.

The students will be able to use an algorithm by applying the concepts of data structures.

The students will be able to develop different algorithms and use their learnt techniques.

Who Should Attend

The intended people who want to learn the Data Structures and Algorithms to structure the data.

Target Audiences

The intended people who want to learn the Data Structures and Algorithms to structure the data.

Welcome to the DATA STRUCTURES and ALGORITHMS course!!

Are you interested in learning the Data Structures and implementing its Algorithms?

The goalof the entire course is to give you capability for writing the code like a professional programmer by understanding the concepts of Data Structures and Algorithms.

Here, each section is having theory and examples with its implementation of Data Structures and Algorithms.

There are many people who don’t understand the concepts of Data Structures but try to write the code which will result in errors.

This course has the concepts of Algorithm & implementation of the Data Structure concepts with examples but not coding. But by learning the concepts of Data Structures and its Algorithms you can write the code in any programming language.

There might be free lessons available in the YouTube but you cannot get all the content available at once and it wont be interactive also.

Here, you will Learn the following:

Basics of Data Structures and Algorithms

Arrays Concepts

Stacks and Queues

Linked Lists Concepts

Tree Data Structures

Graph Data Structures

Searching and Sorting Algorithms.

By learning this course of Data Structures and Algorithms you can gain the knowledge of Data Structures and implement the Algorithms. Finally you can perform well in exams and crack the interviews.

I hope you will learn all these topics and I want everyone to get benefit from my course of Data Structures and Algorithms.

Course Curriculum

Chapter 1: Introduction to Data Structures & Algorithms

Lecture 1: Introduction to Data Structures and Algorithms

Lecture 2: Need of Data Structures

Lecture 3: Algorithms

Lecture 4: Time Complexity and Space Complexity

Lecture 5: Classification of Data Structures

Chapter 2: Arrays

Lecture 1: Introduction to Arrays

Lecture 2: Properties of Arrays

Lecture 3: Operations performed on Arrays

Lecture 4: Advantages and Disadvantages of Arrays

Chapter 3: Stacks and Queues

Lecture 1: Representation of Stacks

Lecture 2: Stack Applications

Lecture 3: Representation of Queues

Lecture 4: Circular Queue

Lecture 5: Queue Applications

Chapter 4: Linked Lists

Lecture 1: Singly Linked Lists

Lecture 2: Insertion of a node in Singly Linked List

Lecture 3: Deletion of a node in Singly Linked List

Lecture 4: Circular Singly Linked Lists

Chapter 5: Trees

Lecture 1: Terminologies of Trees

Lecture 2: Representation of Trees

Lecture 3: Binary Trees

Chapter 6: Graphs

Lecture 1: Introduction of Graphs

Lecture 2: Properties of Graphs

Lecture 3: Adjacency Matrix Representation of Graphs

Lecture 4: Adjacency Lists Representation of Graphs

Lecture 5: Breadth First Search in Graph

Lecture 6: Depth First Search in Graphs

Lecture 7: Spanning Trees

Lecture 8: Connected and Biconnected Components

Lecture 9: Kruskals Algorithm

Lecture 10: Prims Algorithm

Chapter 7: Searching & Sorting

Lecture 1: Linear Search

Lecture 2: Binary Search

Lecture 3: Insertion Sort

Lecture 4: Merge Sort

Chapter 8: Conclusion

Lecture 1: Conclusion

Lecture 2: Thank You!

Instructors

Rashmi V
Educator

Rating Distribution

1 stars: 2 votes

2 stars: 2 votes

3 stars: 5 votes

4 stars: 14 votes

5 stars: 18 votes

Frequently Asked Questions

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