Principal Component Analysis Courses and Certifications

Navigating Data Simplification with PCA

Master dimensionality reduction techniques using Principal Component Analysis (PCA) with Python's Scikit-learn, from basic concepts to practical implementation in machine learning projects.

• CodeSignal
• On-Demand
• Free Certificate

Ideas for a Complex World - Anna Seigal

Explore mathematical tools for understanding complex data, their applications in disease treatment, exam predictions, and advertising, and the limitations of these approaches in real-world scenarios.

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

MITCBMM

Wobbling, Drooping, Bouncing - Visual Perception of Materials and Their Properties

Explore visual perception of material properties through experiments on elastic bouncing objects, examining human estimation accuracy, motion features, and internal models for predicting object behavior.

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

Julia Silge

Principal Component Analysis for Hip Hop Songs With Tidymodels

Implement PCA using recipes to analyze the best hip hop songs of all time, exploring Spotify data and visualizing results with tidymodels.

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

Alan Turing Institute

Parsimonious Representations in Data Science - Dr. Armin Eftekhari, University of Edinburgh

Explore geometric structures in data, from linear subspace models to nonlinear approaches, for efficient data analysis and representation in the era of big data.

• YouTube
• 1 hour 53 minutes
• On-Demand
• Free Video

Fields Institute

PCA for High-Dimensional Heteroscedastic Data

Explore optimal weighting for PCA in high-dimensional heteroscedastic data, improving recovery of underlying components and addressing challenges in modern applications with heterogeneous datasets.

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

Applied Algebraic Topology Network

Katharine Turner - PCA of Persistent Homology Rank Functions with Case Studies

Explore persistent homology rank functions through PCA, featuring case studies and insights into topological data analysis techniques.

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

The Julia Programming Language

Principal Component Analysis - Lecture 8

Explore Principal Component Analysis: from matrix rank to SVD. Learn to measure data cloud size, understand correlated data, and navigate high-dimensional spaces using statistical techniques.

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

StatQuest with Josh Starmer

Principal Component Analysis - PCA, Step-by-Step

Step-by-step guide to Principal Component Analysis (PCA), explaining its importance in data analysis and machine learning. Covers 2D and 3D data examples, PC calculation, and interpretation of results.

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

StatQuest with Josh Starmer

Principal Component Analysis - PCA Clearly Explained - 2015

Clear explanation of Principal Component Analysis, covering dimensions, variance, loading scores, and key concepts for interpreting PCA plots in RNA-seq data analysis.

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

UofU Data Science

Principal Component Analysis and Singular Value Decomposition - Spring 2023

Master dimensionality reduction techniques through PCA and SVD, exploring multicollinearity, vector basis, and practical applications with hands-on demonstrations for effective data analysis.

• YouTube
• 1 hour 23 minutes
• On-Demand
• Free Video

UofU Data Science

Dimensionality Reduction: Principal Component Analysis and Multidimensional Scaling - Lecture 21

Master dimensionality reduction techniques through Principal Component Analysis (PCA) and Multidimensional Scaling (MDS), exploring their applications in data analysis and visualization.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

NCCR SwissMAP

Bayesian Limits in Structured PCA and How to Reach Them - Workshop on Spin Glasses

Explore Bayesian limits in structured PCA and techniques to achieve them, presented by J. Barbier from ICTP Trieste.

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

BIMSA

An ℓp Theory of PCA and Spectral Clustering

Explore an advanced $\ell_p$ theory of PCA, improving upon vanilla PCA for heteroscedastic noises and yielding optimal bounds for spectral clustering and community detection.

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

Data Science: Machine Learning

90 ratings at edX

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

• edX
• 8 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)