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Clustering in R

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Enroll In Clustering in R Free Course & Get Free Certificate On Completion. Also Get Access To 1000+ Free Courses With Free Certificates Now. No Ads Or Payment. Just Sign Up For Free!

What you learn in Clustering in R ?

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Basics of Machine learning
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K-means Clustering
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Hierarchical Clustering
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Market Basket Analysis

About this Free Certificate Course

 

 

This course will introduce you to prominent Clustering concepts in the R programming language. The course begins by giving you an overview of machine learning, and it comprehends technologies in clustering. You will understand k-means clustering, hierarchical clustering, and marketing basket analysis mechanisms and learn to work with these concepts using R programming. There is an assessment to evaluate your gains at the end of the course. Complete the course for free and avail your certificate. You can also study the attached materials for reference. 

After this free, self-paced, beginner's guide to Clustering in R, you can enroll in the Data Science and Machine Learning course, embark on your career with the professional Post Graduate certificate. Learn various concepts in depth with millions of aspirants across the globe!

Course Outline

Overview of Machine Learning

In this module, you shall understand what machine learning is, why it is needed, supervised learning, its applications, unsupervised learning, and its applications. 

 

Concepts and Types of Clustering

This section shall imbibe in you the knowledge of what clustering is, various distance measures in clustering, hierarchical clustering, and k-means clustering in brief. 

 

k-means Clustering

This section begins by explaining k-means clustering and understanding it through plots. It will then discuss the k-means algorithm, look at the working example, and its advantages in the latter part of this section.

k-means Clustering in R

The section begins by helping you understand the optimal number of clusters using R programming. It also demonstrates a code to work with k-means clustering later in this section. 

 

Hierarchical Clustering

The section begins with a briefing on hierarchical clustering with cluster dendrogram. You will then gain knowledge on how to work with a problem statement for k-means with a demonstrated example to form a data cluster.  

 

Hierarchical Clustering in R

You will understand working with hierarchical clustering in R programming with retail store outlet dataset in this section.

Market Basket Analysis

This section shall begin with a briefing on market basket analysis and then continue building an analysis solution using R programming in the second half of this section. 

 

Market Basket Analysis in R

Continuing with the retail store outlet example, this section shall help you understand market basket analysis with demonstrated code in R programming.

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Clustering in R

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3.0 Hours

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Frequently Asked Questions

What are the prerequisites required to learn the Clustering in R course?

Clustering in R is a beginner's course. You will need to have good knowledge of R programming before you begin with this course since its concepts are detailed using R programming.

How long does it take to complete this free Clustering in R course?

This free certificate course is 3-hours long. You can learn Clustering concepts in R and work at your convenience to understand the subject since the course is self-paced.

Will I have lifetime access to this free course?

Yes, once you enroll in this Clustering in R course, you will have lifetime access to this Great Learning Academy's free course. You can log in and learn at your leisure.

What are my next learning options after I complete Cluster Analysis in R?

 After you have completed this free course, you can opt for a Master's in Data Science that will aid in advancing your career growth in this leading field.

 

Is it worth learning Clustering in R?

Yes, it is beneficial to learn clustering in R. It is an unsupervised machine learning technique that segments the dataset to cluster them based on common characteristics. These clusters group data points to classify data into structures to understand and manipulate them easily. 

 

What is Hierarchical Clustering in R used for?

Clustering is a machine learning algorithm that draws inferences from unlabelled data and builds hierarchy from the bottom-up. While performing clustering using R programming, a programmer does not have to specify the number of clusters beforehand. The data points are put in their own clusters, and the closest two clusters are identified and combined into a single cluster. 

 

Why is k-mean Clustering in R so popular?

The k-means clustering vector quantization is a method to partition and observe k clusters to group clusters with the nearest mean as a cluster prototype. This clustering is achieved by specifying the data conditions into the algorithm for the machine to understand and deliver relevant results. 

 

Will I get a certificate after completing this free Clustering in R course?

Yes, you will get a certificate of completion for the Clustering in R course after completing all the modules and cracking the assessment/quiz. All the assessment tests your knowledge of cluster analysis concepts with R programming and badges your skills. 

 

What knowledge and skills will I gain upon completing this course?

You will gain the foundational knowledge of how to cluster the data points using R programming. You will understand different technologies in clustering, hierarchical clustering, k-means clustering, and market basket analysis concepts and will be able to work with them using R programming upon completion of this clustering analysis course. 

 

How much does this Clustering in R course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning clustering concepts such as k-means, hierarchical clustering, and market basket analysis concepts using R programming can get started with this course. You can also refer to the attached materials for additional knowledge.

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 stricture 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 Clustering in R course?

Great Learning is a global educational technology platform committed to developing skilled professionals. Great Learning Academy is a Great Learning project that provides free online courses to assist people in succeeding in their careers. Great Learning Academy's free online courses have helped over 4 million students from 140 countries. It's a one-stop destination for all of a student's needs.

This course is free and self-paced and includes demonstrated codes in R, to help you comprehend the numerous areas that fall under the subject and awards you a certificate to showcase your skills. The course is conducted by topic experts and is carefully tailored to cater to both beginners and professionals.

 

 

Who is eligible to take this course?

Anyone interested in learning the clustering concepts and has a good grasp of R programming can take up the course. So, enroll in our clustering in R course today and learn it for free online.

 

What are the steps to enroll in this Clustering in R course?

 Enrolling in Great Learning Academy's Clustering in R course is a simple and straightforward approach. You will have to sign-up with your E-Mail ID, enter your user details, and then you can start learning at your own pace. 

 

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

Once you enroll in the cluster analysis course, you have lifetime access to it. So, you can log in anytime and learn it for free online at your convenience. 

 

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