Clustering Courses and Certifications

Segmentation and Clustering

The Segmentation & Clustering course provides students with the knowledge to build and apply clustering models to develop sophisticated segmentation in business contexts.

• Udacity
• 5 hours
• On-Demand
• Free Online Course

Mining Massive Datasets

24 reviews

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
• On-Demand
• Free Online Course (Audit)

• Best of All Time

Unsupervised Learning and Clustering

Master unsupervised learning algorithms from scratch, including k-Means, PCA, and DBSCAN. Build clustering implementations, visualize results, and evaluate performance using essential metrics.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Unsupervised Learning and Clustering

Master unsupervised learning by building k-Means, mini-batch k-Means, PCA, and DBSCAN from scratch. Assess cluster quality using key metrics like homogeneity and completeness.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Density-Based Clustering Simplified

Master DBSCAN clustering techniques to identify unique cluster shapes through connectivity and density functions, with hands-on R implementation and parameter tuning.

• CodeSignal
• 2 hours
• On-Demand
• Free Certificate

Applied Football Analytics - Looking at real-world cases

Explore real-world football analytics workflows used by elite clubs, from match analysis and scouting to strategic decision-making and media applications.

• Coursera
• 17 hours 19 minutes
• On-Demand
• Paid Course

Packt

Cluster Analysis and Unsupervised Machine Learning in Python

Master clustering algorithms and unsupervised machine learning techniques in Python, from K-Means to Gaussian Mixture Models, with hands-on implementation and real-world applications.

• Coursera
• 13 hours 39 minutes
• On-Demand
• Paid Course

Clustering & Classification With Machine Learning In Python

498 ratings at Udemy

Harness The Power Of Machine Learning For Unsupervised & Supervised Learning In Python

• Udemy
• 6 hours 4 minutes
• On-Demand
• Paid Course

Machine Learning: Clustering & Retrieval

5 reviews

Explore similarity-based algorithms for document retrieval, clustering techniques, and topic modeling. Learn to implement k-nearest neighbors, k-means, EM, and LDA for analyzing large text datasets.

• Coursera
• 17 hours 21 minutes
• On-Demand
• Paid Course

Introduction to Artificial Intelligence

6 reviews

Get a simplified overview of the top tools in artificial intelligence.

• LinkedIn Learning
• 1 hour 35 minutes
• On-Demand
• Free Trial Available

Apache NiFi - Admin Guide - Clustering and Management 2020

63 ratings at Udemy

Become an Apache NiFi Pro - Real world Production Cluster Setup Example and Troubleshooting Scenarios

• Udemy
• 3 hours 58 minutes
• On-Demand
• Paid Course

Supervised Learning Regression Classification Clustering

Master essential machine learning techniques from regression and classification to clustering, gaining practical skills to implement supervised and unsupervised learning for real-world data analysis.

• Coursera
• 7 hours 44 minutes
• On-Demand
• Paid Course

Packt

Clustering and Classification with Machine Learning in R

Master R for data analysis: from preprocessing to advanced machine learning algorithms. Gain practical skills in clustering, classification, and dimension reduction using real-world datasets and popular R packages.

• Coursera
• 11 hours 42 minutes
• On-Demand
• Paid Course

Microcredential

Data Science Foundations

117070 ratings at Coursera

Master essential data science skills through IBM tools and academic foundations, from Python programming to machine learning, preparing for high-demand roles with hands-on projects and industry insights.

• Coursera
• 12 weeks, 10 hours a week
• On-Demand
• Paid Course
• 8 courses

Discover patterns in unlabeled data using K-means clustering. Learn to build, assess, and improve algorithms for effective unsupervised learning and pattern recognition.

• Codecademy
• 2 hours
• On-Demand
• Free Trial Available