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.
Enroll now: Data Structures and Algorithms
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:
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Basics of Data Structures and Algorithms
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Arrays Concepts
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Stacks and Queues
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Linked Lists Concepts
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Tree Data Structures
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Graph Data Structures
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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: Kruskal's Algorithm
Lecture 10: Prim's 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
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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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