Data Structures and Algorithms

Name: Data Structures and Algorithms
Rating: 4.1 (44 reviews)

A guide for learning Data Structures operations & Analyze the Algorithms by implementing the practical Data Structures.

Created byRashmi V

Last updated 6/2024

English

English [Auto],

What you'll 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.

Course content

8 sections • 37 lectures • 3h 28m total length

Introduction to Data Structures and Algorithms3:43
Details about Data Structures and Algorithms course.
Need of Data Structures1:45
At the end of the lecture, students will be able to understand the need of Data Structure.
Algorithms2:23
At the end of this lecture, students will understand the importance of Algorithm and know how to write an Algorithm.
Time Complexity and Space Complexity4:32
At the end of this lecture, you will be able to understand the time complexity and space complexity.
Classification of Data Structures4:32
After completion of this lecture, you will be able to understand the different types of Data Structures and their Classification.

Introduction to Arrays3:14
After completion of this lecture, the students will be able to understand the concept of Arrays.
Properties of Arrays8:04
At the completion of this lecture, students will be able to understand the different properties of Arrays.
Operations performed on Arrays6:26
After the end of this lecture, students will be able to understand the different operations that can be performed on Arrays.
Advantages and Disadvantages of Arrays5:13
At the end of this lecture, students will be able to understand the advantages and disadvantages of Arrays.

Representation of Stacks5:18
At the end of this lecture, the students will be able to understand the Representation of Stack and Operations performed on Stacks.
The students can also apply Stack operations.
Stack Applications7:18
At the end of this lecture, students will be understand to know different applications of Stacks.
Representation of Queues6:38
At the end of this lecture, the students will be able to understand the Representation of Queues and Operations performed on Queues.
The students can also apply Queue operations.
Circular Queue6:10
At the end of this lecture, students will be able to understand the concept of Circular Queue along with its advantages.
Queue Applications1:19
At the end of this lecture, students will be able to understand different applications of Queues.

Singly Linked Lists6:02
At the end of this lecture, students will be able to understand the concept of Singly Linked List.
Insertion of a node in Singly Linked List8:20
At the end of this lecture, students will be able to understand the insertion a node in a Singly Linked List.
Deletion of a node in Singly Linked List8:58
At the end of this lecture, students will be able to understand the deletion of a node in a Singly Linked List.
Circular Singly Linked Lists5:58
At the end of this lecture, students will be able to understand the concept of Circular Singly Linked List.

Introduction of Graphs5:23
At the end of this lecture, students will be able to understand the concept of Graphs.
Properties of Graphs11:31
At the end of this lecture, students will be able to understand the different properties of Graphs.
Adjacency Matrix Representation of Graphs20:11
At the end of this lecture, students will be able to understand the Adjacency Matrix Representation of Graphs.
Adjacency Lists Representation of Graphs4:36
At the end of this lecture, students will be able to understand the Adjacency Lists Representation of Graphs.
Breadth First Search in Graph5:18
At the end of this lecture, students will be able to understand the process of Breadth First Search in Graphs.
Depth First Search in Graphs5:42
At the end of this lecture, students will be able to understand the process of Depth First Search in Graphs.
Spanning Trees1:26
At the end of this lecture, students will be able to understand the concept of Spanning Trees.
Connected and Biconnected Components1:41
At the end of this lecture, students will be able to understand the concept of Connected and Biconnected Components.
Kruskal's Algorithm5:25
At the end of this lecture, students will be able to understand the Kruskal's Algorithm and implement it.
Prim's Algorithm5:19
At the end of this lecture, students will be able to understand the Prim's Algorithm and implement it.

Linear Search1:32
At the end of the course, students will be able to understand the process of searching an element in Linear Search.
Binary Search3:54
At the end of the course, students will be able to understand the process of searching an element using Binary Search.
Insertion Sort3:41
At the end of the course, students will be able to understand the process of sorting the list of elements using Insertion Sort.
Merge Sort8:03
At the end of the course, students will be able to understand the process of sorting the elements using the Merge Sort.

Requirements

Basic Computer Science Knowledge.

Description

Welcome to the DATA STRUCTURES and ALGORITHMS course!!

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

The goal of 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.

Who this course is for:

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

Data Structures and Algorithms

What you'll learn

Explore related topics

Course content

Introduction to Data Structures & Algorithms5 lectures • 17min

Arrays4 lectures • 23min

Stacks and Queues5 lectures • 27min

Linked Lists4 lectures • 29min

Trees3 lectures • 27min

Graphs10 lectures • 1hr 7min

Searching & Sorting4 lectures • 17min

Conclusion2 lectures • 2min

Requirements

Description

Who this course is for: