Clustering Courses and Certifications

Cluster Performance Unveiled

Learn to validate and optimize clustering algorithms in R using Silhouette, Davies-Bouldin, and cross-tabulation analyses.

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

Mining Massive Datasets

24 ratings

The course is based on the text Mining of Massive Datasets by Jure Leskovec, Anand Rajaraman, and Jeff Ullman, who by coincidence are also the instructors for the course.

• edX
• 7 weeks, 5-10 hours a week
• Self-Paced
• Free Online Course (Audit)

• Best of All Time

NPTEL;  IIT Kharagpur

Data Mining

45 ratings

Covers core data-mining algorithms—from preprocessing and Apriori association rules to classification and clustering—with implementations and industrial case studies.

• YouTube
• 16 hours
• Self-Paced
• Free Video

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

EDUCBA

SPSS: Apply & Evaluate Cluster Analysis Techniques

21 ratings at Coursera

Apply hierarchical, K-means, and Two-Step cluster analysis in SPSS, interpret dendrograms and scree plots, and evaluate clustering quality with BIC, AIC, and silhouette coefficient.

• Coursera
• 2 weeks, 2 hours a week
• 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

Genomic Data Science and Clustering (Bioinformatics V)

94 ratings at Coursera

Apply clustering algorithms to gene expression data and population genetics: Lloyd's algorithm, soft and hierarchical clustering, principal components analysis, and popular bioinformatics software tools.

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

CertNexus

Build Regression, Classification, and Clustering Models

21 ratings at Coursera

Build machine learning models across three problem types: linear and regularized regression, binary and multiclass classification with tuning, and clustering of unlabeled data.

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

Supervised Learning Regression Classification Clustering

Build linear and logistic regression, Decision Tree, Random Forest, and Naive Bayes models, and apply K-Means clustering to tasks like market segmentation and image compression.

• Coursera
• 2 weeks, 4 hours a week
• Self-Paced
• Paid Course

Unsupervised Learning

Unsupervised learning is a category of machine learning algorithms that use unlabeled data and no prior training. Many algorithms fall into this category. This class will cover the more popular ones o

• edX
• 5 weeks, 5-7 hours a week
• Self-Paced
• Free Online Course (Audit)

Text Mining and Analytics

10 ratings

Mine text statistically: discover paradigmatic and syntagmatic word associations, build PLSA and LDA topic models, cluster and categorize documents, and analyze sentiment with ordinal regression.

• Coursera
• 7 weeks, 5 hours a week
• Self-Paced
• Paid Course

Career Certificate

Machine Learning

16274 ratings at Coursera

Learn machine learning through practical case studies: build regression, classification, clustering, and retrieval systems that analyze large datasets and make predictions.

• Coursera
• 8 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses

K-means Clustering Decoded

Implement K-means clustering in Python: initialize centroids, choose the number of clusters, visualize Iris clusters with Matplotlib, and evaluate results with the Rand Index.

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

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

Density-Based Clustering Simplified

Learn density-based clustering with DBSCAN in Python: implement connectivity and expansion logic from scratch, tune epsilon and distance metrics, and visualize clusters with scikit-learn.

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