Principal Components Analysis Courses and Certifications

Connect the Dots: Factor Analysis

84 ratings at Udemy

Factor extraction using PCA in Excel, R and Python

• Udemy
• 1-2 hours
• On-Demand
• Paid Course

Alan Turing Institute

Big Data Is Low Rank - Madeleine Udell, Cornell University

Explore big data's low-rank structure, generalized low-rank models, and their applications in machine learning. Learn about dimensionality reduction, autoML, and latent variable models for efficient data analysis.

• YouTube
• 46 minutes
• On-Demand
• Free Video

Genomic Data Science and Clustering (Bioinformatics V)

90 ratings at Coursera

Explore genomic data clustering techniques for gene expression analysis and human migration patterns. Learn algorithms for data point grouping and dimensionality reduction using principal components analysis.

• Coursera
• 9-10 hours
• On-Demand
• Free Online Course (Audit)

Unsupervised Deep Learning in Python

2350 ratings at Udemy

Autoencoders, Restricted Boltzmann Machines, Deep Neural Networks, t-SNE and PCA

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

Applied Multivariate Analysis with R

345 ratings at Udemy

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

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

Applied Machine Learning in R

270 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

Academic Lesson

SPSS Tutorial for Data Analysis - SPSS for Beginners

4 reviews

Comprehensive SPSS tutorial covering various statistical analyses, from basic tests to advanced regression techniques. Ideal for beginners seeking practical data analysis skills using IBM SPSS Statistics.

• YouTube
• 2 hours 31 minutes
• On-Demand
• Free Video

Brown University;  Georgia Tech

Machine Learning: Unsupervised Learning

3 reviews

Ever wonder how Netflix can predict what movies you'll like? Or how Amazon knows what you want to buy before you do? The answer can be found in Unsupervised Learning!

• Udacity
• 4 weeks
• On-Demand
• Free Online Course

Reducing Dimensions in Data with scikit-learn

19 ratings at Pluralsight

Learn powerful dimensionality reduction techniques in scikit-learn to optimize ML models, reduce overfitting, speed up training, and improve visualization. Covers feature selection, PCA, LDA, and manifold learning methods.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

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

• Udacity
• 3 weeks
• On-Demand
• Free Online Course

statisticsmatt

Multivariate

Explore advanced multivariate statistical concepts, including hypothesis testing, probability distributions, and data analysis techniques, with practical applications using R programming.

• YouTube
• 6 hours
• On-Demand
• Free Video

Performing Dimension Analysis with R

This course covers virtually all of the important techniques of dimensionality reduction available in R, allowing model builders to optimize model performance by reducing overfitting and saving on model training time and cost.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Análisis de datos empresariales con R

4 reviews

Analiza los datos con R y R Studio aplicando nuevas técnicas para tomar decisiones orientadas a los negocios, contemplando información de diversas variables simultáneamente y sé parte de la transformación empresarial.

• edX
• 4 weeks, 5-8 hours a week
• On-Demand
• Free Online Course (Audit)

IIT Kanpur;  NPTEL

Multivariate Procedures with R

Learn multivariate statistical procedures using R, covering techniques like PCA, regression, cluster analysis, and SEM. Gain practical skills for data analysis in research and business contexts.

• Swayam
• 12 weeks
• Finished
• Free Online Course