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Greedy Algorithm

star 4.53  Beginner level 2.25 learning hrs 3.4K+ Learners

Instructor:

Pragya P

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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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

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Greedy Algorithm

rating icon 4.53

2.25 Hours

Beginner

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3.4K+ learners enrolled so far

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Master in-demand skills & tools

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Learner reviews of the Free Courses

4.53
70%
22%
5%
1%
2%
Reviewer Profile

5.0

Country Flag India
“Great Learning's Course Was Outstanding! The Content Was Well-Organized and Covered Complex Topics in an Easy-to-Understand Way.”
I had an excellent experience with the online course on Great Learning! The content was comprehensive and well-structured, covering both foundational concepts and advanced topics in a clear and engaging way. The instructors were knowledgeable, approachable, and explained complex topics in an easy-to-understand manner, which made learning enjoyable.
Reviewer Profile

5.0

Country Flag India
“I've Learned the Best Advanced Algorithm with a Good Mentor in This Session”
The Advanced Algorithms course provided a comprehensive and in-depth look at complex algorithmic concepts, which has greatly enhanced my problem-solving skills. The curriculum was well-structured, covering essential topics like dynamic programming, graph theory, and NP-completeness with clarity.
Reviewer Profile

5.0

Country Flag India
“Greedy Programming in Java of Data Algorithm”
The Greedy Algorithm course provided a clear and concise explanation of key concepts and problem-solving techniques. It effectively demonstrated how to apply greedy approaches to real-world problems like the fractional knapsack, job scheduling, and graph-related tasks. However, more complex examples and practice exercises could further strengthen the learning experience. Overall, it’s a solid introduction to the subject.
Reviewer Profile

5.0

Country Flag India
“Good Experience, Very Useful Information and Thank You”
A Greedy Algorithm is an approach to problem-solving that makes a series of choices by selecting the option that seems the best at the moment (the locally optimal choice) without necessarily considering the global optimal solution. The goal is to build a solution piece by piece, ensuring that each step is the most advantageous.
Reviewer Profile

5.0

Country Flag India
“Thank You and Very Useful Information”
A greedy algorithm is a problem-solving approach that makes a series of choices, each of which looks the best at the moment (locally optimal). It builds a solution piece by piece, choosing the option that offers the most immediate benefit, without worrying about the long-term consequences. Greedy algorithms are often used for optimization problems.
Reviewer Profile

5.0

Country Flag 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.
Reviewer Profile

5.0

Country Flag 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.
Reviewer Profile

5.0

Country Flag 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.
Reviewer Profile

5.0

Country Flag 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.
Reviewer Profile

5.0

Country Flag 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.

What our learners enjoyed the most

Our course instructor

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Pragya P

IT & Software Expert

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340.4K+ Learners
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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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