Cluster Analysis Courses and Certifications

Cluster Performance Unveiled

Master advanced clustering validation techniques using Silhouette Score, Davies-Bouldin Index, and Cross-Tabulation Analysis to optimize algorithm performance and identify ideal cluster structures.

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

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

K-means Decoded

Master K-means clustering fundamentals through hands-on practice with data grouping, centroid identification, and cluster quality evaluation using R and real datasets.

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

Business Analytics for Decision Making

1898 ratings at Coursera

Learn to create data-driven decision models using cluster analysis, Monte Carlo simulation, and optimization techniques with Excel and Analytic Solver Platform. No coding or advanced statistics required.

• Coursera
• 8 hours 49 minutes
• On-Demand
• Paid Course

Microcredential

Data Mining

2940 ratings at Coursera

Comprehensive exploration of data mining techniques for structured and unstructured data, covering visualization, text retrieval, analytics, pattern discovery, and clustering, with a practical Yelp-based capstone project.

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

Machine Learning- From Basics to Advanced

2333 ratings at Udemy

A beginners guide to learn Machine Learning (including Hands-on projects - From Basic to Advance Level)

• Udemy
• 6 hours 49 minutes
• On-Demand
• Paid Course

Microcredential

Data Science Fundamentals

261 ratings at Coursera

Demystify data science through key skills, techniques, and concepts. Explore analytics, statistical modeling, data engineering, big data manipulation, and data mining algorithms.

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

Machine Learning 101 with Scikit-learn and StatsModels

874 ratings at Udemy

New to machine learning? This is the place to start: Linear regression, Logistic regression & Cluster Analysis

• Udemy
• 5 hours 17 minutes
• On-Demand
• Paid Course

Excel for Data Science and Machine Learning

573 ratings at Udemy

Perform Machine Learning and Advanced Statistical Analysis On Your Own - Even If You Don't Code! 100% in Excel

• Udemy
• 5 hours 54 minutes
• On-Demand
• Paid Course

Data Mining with R: Go from Beginner to Advanced!

428 ratings at Udemy

Learn to use R software for data analysis, visualization, and to perform dozens of popular data mining techniques.

• Udemy
• 11 hours 54 minutes
• On-Demand
• Paid Course

Applied Multivariate Analysis with R

412 ratings at Udemy

Learn to use R software to conduct PCAs, MDSs, cluster analyses, EFAs and to estimate SEM models.

• Udemy
• 12 hours 13 minutes
• On-Demand
• Paid Course

SAP Data Science & ML for SAP Consultants

296 ratings at Udemy

Master ML and Data Science on SAP Data: Ultimate Hands-On Techniques for Insightful Analysis

• Udemy
• 1 day 2 hours 24 minutes
• On-Demand
• Paid Course

Applied Machine Learning in R

294 ratings at Udemy

Get the essential machine learning skills and use them in real life situations

• Udemy
• 8 hours 11 minutes
• On-Demand
• Paid Course

Advanced Business Analytics Capstone

90 ratings at Coursera

Analyze financial loan data to guide investment decisions through data preprocessing, predictive analytics, prescriptive analytics, and result presentation for optimal portfolio allocation.

• Coursera
• 19 hours 30 minutes
• On-Demand
• Paid Course

Survey analysis to Gain Marketing Insights

123 ratings at Coursera

Learn advanced survey analysis techniques for marketing insights, including factor analysis, customer segmentation, and perceptual mapping. Apply statistical methods to convert survey data into actionable marketing strategies within the STP framework.

• Coursera
• 5 hours 28 minutes
• On-Demand
• Paid Course