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Name: Greedy Algorithm
Rating: 4.53 (593 reviews)

Greedy Algorithm

4.53 Beginner level 2.25 learning hrs 3.4K+ Learners

Instructor:

Pragya P

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Skills you will gain

Greedy Algorithm

Dynamic Algorithm

Fractional Knapsack

Prims Minimal Spanning Tree

Key Highlights

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About this course

This course is about one of the Programming techniques followed to solve various problems which is Greedy Programming Approach. Starting from Concepts about greedy programming to the various examples of it are discussed. The two well known applications of Greedy Programming are Fractional Knapsack problem and Prims Algorithm for minimal spanning tree is discussed along with their implementation using Java Programming.

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Start learning

10,000+ certificates claimed, get yours today!

Get noticed by top recruiters

Share on professional channels

Globally recognised

Land your dream job

Course outline

Summary

This comprehensive module on Organizational Behaviour, covers the concept, importance, elements, levels, types, and objectives of the field. It provides a deep understanding of the subject to enhance interpersonal and communication skills and create a positive work environment.

Agenda of Greedy Programming

Introduction to Greedy Programming

Examples of Greedy Programming

Greedy vs Dynamic Programming

Fractional Knapsack

Fractional Knapsack Implementation Code

Prims Minimal Spanning Tree

Prims minimal Spanning Tree Implementation Code

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

View Full Course

Greedy Algorithm

4.53

2.25 Hours

Beginner

3.4K+ 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

4.53

★★★★

★ ☆

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70%

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☆

22%

★

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Aaditya Patil

4.0

★★★ ★ ☆

India

“Completed Greedy Programming Course, Enhancing My Algorithmic Problem-Solving Skills”

I thoroughly enjoyed the Greedy Programming course, especially how it broke down complex problems into easy-to-understand concepts. The step-by-step approach and real-world examples helped me grasp how the greedy method can be applied efficiently. The clear explanations and practical exercises were very beneficial.

Ernest Jack Raju

5.0

★★★★ ★

India

“Interactive, Great, and Very Understandable”

The Greedy Approach course was insightful and well-structured. It covered key concepts and applications, such as Huffman coding and the Knapsack problem. The examples were clear, and the hands-on exercises reinforced learning effectively. Highly recommended for algorithm enthusiasts!

VIJAYA LAKSHMI D

5.0

★★★★ ★

India

“I learned about Greedy Algorithm and thoroughly enjoyed the classes. Gained deeper insights into Fractional Knapsack.”

It was a very useful and knowledgeable course. It helped me gain deeper insights into the Greedy Algorithm.

Nilesh Gunvant Mahajan

5.0

★★★★ ★

India

“Greedy Programming Teaches Solving Problems by Making Optimal Local Choices at Each Step, with Examples Like Fractional Knapsack and Activity Selection Fostering Problem-Solving”

Greedy programming focuses on solving optimization problems by making the best possible choice at each step, aiming for a globally optimal solution. It provides practical experience through examples like Fractional Knapsack, Activity Selection, and Huffman Encoding. This approach helps learners develop logical thinking, understand algorithmic strategies, and recognize when a greedy solution will be effective or when other methods are needed.

Anushree Anu

5.0

★★★★ ★

India

“Understanding of Algorithmic Approaches and Problem-Solving Techniques”

In feedback, I value clarity and constructive insights that help me understand strengths, identify areas for improvement, and offer actionable suggestions. Specific examples of what went well or could be improved, along with reasons, make feedback more useful. Positive reinforcement on effective aspects is also valuable, as it highlights what should be continued or built upon. For educational or quiz-based feedback, it helps if the feedback specifies which concepts were well-explained, which might need more detail or alternative examples, and any potential improvements.

Saurabh Zope

5.0

★★★★ ★

India

“My Learning Experience Was Very Excellent on This App”

Great learning experiences blend knowledge, skills, and insights, transforming a learner's understanding and enhancing their ability to apply what they have learned in real-world scenarios. Great learning is active and immersive, encouraging learners to dive deeply into topics through hands-on activities, discussions, and real-life applications. This approach not only strengthens retention but also helps learners see the direct relevance and utility of what they are studying.

Khushal Patil

5.0

★★★★ ★

India

“Course Feedback: The Course Has Provided a Solid Understanding of Key Algorithms and Data Structures”

Clear Explanations of Core Algorithms: The course did a great job explaining important algorithms such as Prim's and Kruskal's for the Minimal Spanning Tree, and the Fractional Knapsack Problem. These topics were addressed with sufficient detail to understand both their theory and real-world applications.

Wagh Sejal Ravindra

5.0

★★★★ ★

India

“The AI Project Deepened My Understanding of Machine Learning Algorithms, Data Processing, and Model Deployment, Enhancing My Problem-Solving Skills”

I enjoyed working on the AI project because it allowed me to apply theoretical knowledge in a real-world context. The hands-on experience with data preprocessing, training machine learning models, and evaluating their performance was particularly rewarding. I also liked the problem-solving aspect, as I had to fine-tune models and adapt strategies to improve accuracy, making it a valuable learning experience in both technical and practical terms.

Harshitha On

5.0

★★★★ ★

India

“Easy to Understand and Learn: Courses Explained in a Detailed Manner Using In-Depth Knowledge”

I liked the course because it was easy to follow and had a lot of hands-on activities. The instructor explained things clearly, and I really appreciated the projects that let me apply what I learned. Overall, it was engaging and helped me understand the material better.

Aditya Shreyeskar

5.0

★★★★ ★

India

“Well-Structured and Engaging, Making Complex Topics Easy to Understand”

I recently completed the course and found it to be an enriching experience. The content was well-structured and engaging, making complex topics easy to understand. The instructor was knowledgeable and provided valuable insights, fostering a collaborative learning environment. I appreciated the practical exercises that allowed me to apply what I learned in real-world scenarios. However, I believe a few more interactive elements, such as group discussions or live Q&A sessions, would enhance the experience further. Overall, it was a worthwhile investment in my education.

What our learners enjoyed the most

Skill & tools

67%

67% of learners found all the desired skills & tools

Our course instructor

Pragya P

IT & Software Expert

348.8K+ Learners

41 Courses

Pragya is currently working as a Senior Research Analyst at Great Learning. With a passion for teaching, she has served in the higher education sector for more than five years. Pragya is UGC NET and GATE qualified professional with expertise in various Computer Science Subjects like Java Programming, Operating systems, Data Structures, Database management systems etc.

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 Greedy Algorithm free course?

Yes, you will get a certificate of completion for Greedy Algorithm 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 Greedy Algorithm course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Greedy Algorithm 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 Greedy Algorithm 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 Greedy Algorithm course?

Great Learning Academy provides this Greedy Algorithm 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 Greedy Algorithm 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 Greedy Algorithm 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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