Hierarchical Clustering Courses and Certifications

Hierarchical Clustering Deep Dive

Build hierarchical clustering in Python: run agglomerative clustering on Iris data, compute Euclidean and alternative distance metrics, compare linkage criteria, and plot dendrograms.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Hierarchical Clustering Deep Dive

Learn hierarchical clustering in R by computing distance metrics, comparing linkage methods, and constructing and interpreting dendrograms.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Great Learning

Hierarchical Clustering

An introduction to hierarchical clustering covering agglomerative and divisive methods, similarity measures, distance metrics, and selecting cluster numbers.

• YouTube
• 53 minutes
• Self-Paced
• Free Video

Data Science Dojo

Introduction to Hierarchical Clustering with College Scorecard Data

Introduces hierarchical clustering by using College Scorecard data to group similar schools based on demographic and institutional characteristics.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

Cluster Analysis in Python

1050 ratings at DataCamp

You have probably come across Google News, which automatically groups similar news articles under a topic.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Cluster Analysis in Data Mining

7 ratings

Learn clustering methods for data mining: partitioning with k-means, hierarchical BIRCH, density-based DBSCAN/OPTICS, plus validation techniques for evaluating clustering quality.

• Coursera
• 6 weeks, 3 hours a week
• Self-Paced
• Paid Course

Cluster Analysis in R

75 ratings at DataCamp

Learn How to Perform Cluster Analysis Cluster analysis is a powerful toolkit in the data science workbench.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Google TechTalks

Tree Learning: Optimal Algorithms and Sample Complexity - Hierarchical Clustering and PAC Learning

Explore optimal algorithms and sample complexity for learning hierarchical tree representations from labeled data, covering PAC learning, online learning, and efficient tree classifier construction.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

UofU Data Science

Data Mining: Understanding Hierarchical Clustering - Spring 2023

Master hierarchical clustering techniques, from basic concepts to advanced validation methods, including cluster proximity measures, stopping criteria, and efficiency considerations.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

UofU Data Science

Data Mining: Hierarchical and Density-Based Clustering Methods - Lecture 11

Explore hierarchical clustering techniques including HAC, DBScan, and density-based methods while mastering key concepts in data grouping and cluster analysis.

• YouTube
• 1 hour 25 minutes
• Self-Paced
• Free Video

UofU Data Science

Hierarchical Agglomerative Clustering - Single Link, Complete Link, and DBScan - L8

Master hierarchical agglomerative clustering techniques including single link, complete link methods, and density-based DBScan algorithms for effective data grouping.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

Career Certificate

Mastering Clustering in Machine Learning

Master clustering with K-means, DBSCAN, hierarchical methods, and techniques for validating unsupervised learning results.

• CodeSignal
• 9 hours
• Self-Paced
• Free Certificate
• 4 courses

Career Certificate

Mastering Clustering in Machine Learning with R

Learn to apply K-means, hierarchical, and density-based clustering in R, with data preprocessing and validation techniques for assessing cluster performance.

• CodeSignal
• 9 hours
• Self-Paced
• Free Certificate
• 4 courses

Cluster Analysis and Unsupervised Machine Learning in Python

5236 ratings at Udemy

Data science techniques for pattern recognition, data mining, k-means clustering, and hierarchical clustering, and KDE.

• Udemy
• 7 hours 57 minutes
• Self-Paced
• Paid Course

Packt

Cluster Analysis and Unsupervised Machine Learning in Python

Implement K-Means, agglomerative hierarchical clustering, and Gaussian Mixture Models in Python, interpret dendrograms, apply Expectation-Maximization, and evaluate clustering results and their limitations.

• Coursera
• 9 weeks, 2 hours a week
• Self-Paced
• Paid Course