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Course Description:
Welcome to “Unlocking the Secrets of Data: Unsupervised Learning with R”, a comprehensive and engaging journey into the world of unsupervised machine learning using the powerful R programming language.
Who This Course Is For:
This course is meticulously designed for a wide range of learners – whether you are stepping into the realm of data science, seeking to enhance your programming skills in R, or a professional looking to delve into the specifics of unsupervised learning algorithms.
What You Will Learn:
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Fundamentals of Unsupervised Learning: Grasp the core concepts and different approaches of unsupervised learning in data science.
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R Programming Deep Dive: Whether you’re starting fresh or brushing up, you’ll gain a strong command of R, a language pivotal in data analysis and machine learning.
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Key Algorithms and Techniques: Explore essential algorithms like hierarchical clustering, association rules, and Principal Component Analysis (PCA).
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Real-world Data Projects: Apply your knowledge to real-world datasets, uncovering hidden patterns and gaining practical, hands-on experience.
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Interactive Learning Experience: Engage with coding challenges, enhancing your learning experience.
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Community and Support: Join a vibrant community of learners and experts. Participate in discussions, share insights, and get the support you need to excel.
Why Choose This Course:
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Tailored Content: Content designed to cater to both beginners and those with prior knowledge, ensuring a comprehensive learning curve.
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Practical and Theoretical Balance: A well-balanced blend of theoretical knowledge and practical application.
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Video Lectures: Unique video based learning that demonstrates live coding sessions.
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Flexible Learning: Learn at your own pace with access to all course materials and community support.
Embark on this journey to master unsupervised learning with R and transform the way you understand and leverage data. Whether it’s for career advancement, academic pursuits, or personal interest, “Unlocking the Secrets of Data: Unsupervised Learning with R” is your key to unlocking the potential of data science.
Enroll now and start your journey towards gaining expertise in unsupervised learning using R!
Unsupervised Learning: Clustering
Unsupervised Learning: Dimensionality Reduction
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Introduction to ClusteringIn this lecture, we provide a brief background of clustering and typical real-world applications.
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Example of using College Scorecard Data - from Industry
This video lecture discusses a real-world, specific example of how I used the College Scorecard data to create clusters. The customer success team absolutely loves the visualization and uses it weekly to develop success strategies for the customers the serve.
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Getting and Loading the College Scorecard Data
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Scaling The Data - Required for Clustering Analyses
In this lecture, I go over the need for scaling or normalizing the data as part of a clustering analysis.
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Using Hierarchical Clustering in R
This lecture discusses how hierarchical clustering (also called agglomerative hierarchical clustering) can be used to place institutions into clusters. This is a great analysis to understand how institutions differ or are similar, especially for students examining which college or university to attend.
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Running a kMeans Clustering Analysis in R
In this lecture, I talk about how easy it is to run a kMeans clustering analysis after you have prepped and cleansed your data.
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Cluster Validity
In this lecture, I review one method for determining the optimal number of clusters you can use for your clustering analysis. YMMV and keep in mind results are suggestions, not hard-and-fast rules.
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Creating Your Own Clustering Analysis
Unsupervised Learning: Association Rule Mining (aka Market Basket Analysis)
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Introduction to Dimensionality Reduction
In this lecture, I discuss the ideas behind dimensionality reduction.
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Feature Removal of Highly Correlated Features
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PCA in R - Part 1
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PCA in R - Part 2
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Dimensionality QuizThis quiz is about dimensionality reduction.
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Apply PCA to a New Dataset
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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