Principal Component Analysis Courses and Certifications

High Throughput Sequencing

Comprehensive playlist covering high-throughput sequencing analysis, including RNA-seq, ChIP-Seq, PCA, clustering, and statistical methods for bioinformatics and genomics research.

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

Steve Brunton

Singular Value Decomposition

2 reviews

Comprehensive exploration of Singular Value Decomposition, covering mathematical foundations, applications in data processing, and implementation in MATLAB and Python for various real-world scenarios.

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

NPTEL;  IIT Ropar

Deep Learning

In this course, we will learn about the building blocks used in these Deep Learning based solutions. Specifically, we will learn about feedforward neural networks, convolutional neural networks, recurrent neural networks and attention mechanisms.

• YouTube
• 1 day 3 hours
• On-Demand
• Free Video

ArcGIS Tutorial

1 review

Comprehensive ArcGIS tutorial covering various GIS techniques, from basic operations to advanced analyses, including image processing, data extraction, and web mapping.

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

Steve Brunton

Data-Driven Science and Engineering

1 review

Explora técnicas avanzadas de aprendizaje automático, sistemas dinámicos y control con ejemplos prácticos en Matlab y Python, basados en el libro "Data-Driven Science and Engineering" de Brunton y Kutz.

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

Dimensionality Reduction in R

1 review

Develop your intuition for when to reduce dimensionality in your data, and master the fundamentals of how to do so in R.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Machine Learning

1 review

Comprehensive introduction to machine learning concepts, from fundamentals to advanced techniques, with clear explanations and practical applications.

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

James-Stein Estimation of Minimum Variance Portfolios - BQE Lecture Series

Explore James-Stein estimation for minimum variance portfolios, addressing optimization bias and enhancing portfolio construction techniques in quantitative finance.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

Machine Learning - Dimensionality Reduction

Learn techniques to reduce dataset features using PCA and EFA, with hands-on practice in R. Explore the theory and application of dimensionality reduction in machine learning.

• Cognitive Class
• 6 hours
• On-Demand
• Free Online Course

STAT 505: Applied Multivariate Statistical Analysis

Explore multivariate statistical methods, including t-tests, ANOVA extensions, dimension reduction, and clustering techniques. Learn to select, implement, and interpret analyses using SAS and Minitab.

• OPEN.ED@PSU
• On-Demand
• Free Online Course

Linear Algebra for Data Science in R

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Machine Learning for Marketing Analytics in R

In this course you'll learn how to use data science for several common marketing tasks.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Multivariate Probability Distributions in R

Learn to analyze, plot, and model multivariate data.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Machine Learning with Scikit-Learn

738 ratings at LinkedIn Learning

Learn to use scikit-learn, the popular open-source Python library, to build efficient machine learning models.

• LinkedIn Learning
• 44 minutes
• On-Demand
• Free Trial Available

Face Recognition Techniques and Applications - Lecture 14

Explore face recognition techniques, from simple approaches to advanced methods like PCA and Linear Discriminant Analysis. Learn about eigenvectors, image compression, and scatter matrices.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video