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Free Graph Based Algorithms Course

Name: Graph Based Algorithms
Rating: 4.51 (420 reviews)

Graph Based Algorithms

4.51 Intermediate level 3.75 learning hrs 4.5K+ Learners

Instructor:

Mr. Setu Maheshwari

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Skills you will gain

Algorithms based on Graphs

Key Highlights

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About this course

In this course, you will understand the concepts of Graph-Based Algorithms. You will start this course by understanding what Graph is and the concept of Traversal in Graph, i.e., Depth First Search and Breadth-First Search process. After that, you will move ahead with learning other algorithms like Djikstra Algorithm, Travelling Salesman Problem with its example problems, time complexity, and drawbacks as well.

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Course outline

Introduction to Graph

Traversal in Graph - DFS Process

Traversal in Graph - BFS Process

Minimum Spanning Tree

Dijkstra's Algorithm

DA - Example

DA - Time Complexity and Drawbacks

Travelling Salesman Problem

TSP - Solution

Get access to the complete curriculum once you enroll in the course

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Graph Based Algorithms

4.51

3.75 Hours

Intermediate

4.5K+ learners enrolled so far

Get free course content

Master in-demand skills & tools

Test your skills with quizzes

Trusted by 10 Million+ Learners globally

4.6

4.89

4.94

4.7

Learner reviews of the Free Courses

4.51

★★★★

★ ☆

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71%

★

☆

21%

★

☆

★

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Sonawane darshana bhausaheb

5.0

★★★★ ★

India

“Great Learning Offers a Comprehensive Learning Experience”

I have had a great learning experience with the Graph-Based Algorithms course on Great Learning. The content is well-structured, and the quizzes are a helpful way to reinforce key concepts. The explanations are clear, and the resources provided are comprehensive, making complex topics much easier to understand. I particularly appreciate the interactive learning format, which keeps me engaged. I would love to see more hands-on exercises and projects to further solidify practical understanding.

taha zaidi

4.0

★★★ ★ ☆

“Great Insight into Graph Algorithms!”

The course provided an excellent introduction to graph algorithms, particularly the practical applications of BFS and DFS. I also enjoyed learning about more advanced algorithms like Dijkstra's and their real-world use cases. The balance between theory and practice was well-maintained, making it easier to understand both the implementation and significance of these algorithms in different domains.

VIBHU REDDY

5.0

★★★★ ★

India

“Mastering Graph-Based Algorithms: A Beginner's Course”

This course offers a comprehensive introduction to graph-based algorithms, focusing on fundamental concepts and real-world applications. It begins with the basics of graph theory, covering types of graphs (directed, undirected, weighted, unweighted), and gradually moves into core algorithms such as Depth-First Search (DFS), Breadth-First Search (BFS), Dijkstra's shortest path, and Kruskal’s and Prim’s algorithms for minimum spanning trees.

Bhavana Nalam

5.0

★★★★ ★

India

“Mastering Graph-Based Algorithms: A Beginner's Course”

ibrahim mohammad

5.0

★★★★ ★

“It's an Amazing Experience, I Learned a Lot”

I really enjoyed the depth of the course material and how the instructor was able to make complex topics easy to understand. The hands-on assignments and quizzes were also very helpful in reinforcing the concepts I learned.

Sravya Goud

5.0

★★★★ ★

India

“Graph-Based Algorithms in Data Structures”

Graph-based algorithms are highly versatile, with applications in real-world problems like social networks, logistics, and computational biology. However, they can become resource-intensive with large graphs, requiring optimized data structures and algorithms. Choosing the right algorithm based on graph properties (like density, weight presence, or directedness) and using heuristics can make these algorithms more efficient.

Gayatri Patil

5.0

★★★★ ★

India

“Depth First Search (DFS) Uses a Stack for Traversal”

Depth First Search (DFS) uses a stack as its primary data structure for traversal. This is because DFS explores as far down a branch as possible before backtracking, which aligns with the 'last in, first out' (LIFO) behavior of a stack. In recursive implementations of DFS, the system's call stack is used implicitly, but in an iterative implementation, you would explicitly use a stack data structure to manage the nodes to visit next.

Kapil Patil

4.0

★★★ ★ ☆

India

“That Was a Great Explanation for Every Fundamental Concept”

Every concept was explained in detail. Examples of the traveling salesman problem and Dijkstra's algorithm were great to understand the working of algorithms.

om shukla

5.0

★★★★ ★

India

“Very Good Course, I Like It So Satisfactory”

The course is designed greatly and very properly, and the instructor can well explain the concept.

Sushil Patil

5.0

★★★★ ★

India

“It Was Very Nice and Easy to Understand for Me”

It was very nice and easy to understand for me. Depth First Search (DFS) uses a stack to explore nodes in a graph or tree. It starts from the root, explores as deep as possible along one branch, and backtracks when necessary. A stack helps manage the nodes to visit next, ensuring that the most recent node is explored first.

What our learners enjoyed the most

Skill & tools

62%

62% of learners found all the desired skills & tools

Our course instructor

Mr. Setu Maheshwari

Faculty for Computer Science Engineering

IT & Software Expert

186.8K+ Learners

12 Courses

Setu is currently working with NPIU (M.H.R.D.) and associated with TEQIP-III project. He has been serving in education and teaching for the last 10 years. He has had the experience of teaching in many reputed colleges across the country, having trained thousands of students on different technologies. He has also authored several books for students.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

Will I get a certificate after completing this Graph Based Algorithms free course?

Yes, you will get a certificate of completion for Graph Based Algorithms after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.

How much does this Graph Based Algorithms course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Graph Based Algorithms can get started with this course.

Is there any limit on how many times I can take this free course?

Once you enroll in the Graph Based Algorithms course, you have lifetime access to it. So, you can log in anytime and learn it for free online.

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.

Why choose Great Learning Academy for this free Graph Based Algorithms course?

Great Learning Academy provides this Graph Based Algorithms course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts. Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.

What are the steps to enroll in this Graph Based Algorithms course?

Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.

Will I have lifetime access to this free Graph Based Algorithms course?

Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to.

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