Principal Component Analysis Courses and Certifications

Tiling the Genome - Naming the Parts of Your Genome That Make You You

Explore genomic tiling, precision medicine, and the future of DNA-based healthcare. Learn about organizing computational resources, big data platforms, and the Personal Genome Project's impact on clinical genetics.

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

Linear Landscapes of Dimensionality Reduction

Master dimensionality reduction techniques through Linear Discriminant Analysis (LDA), comparing it with PCA while implementing practical Python solutions for improved feature selection and model performance.

• CodeSignal
• On-Demand
• Free Certificate

Intro to Unsupervised Machine Learning

Master unsupervised machine learning through hands-on practice with clustering, dimensionality reduction, and advanced algorithms using the Iris dataset for practical data analysis applications.

• CodeSignal
• On-Demand
• Free Certificate

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
• On-Demand
• Free Certificate

Microcredential

AI Theory and Coding

Master the fundamentals of AI by implementing machine learning algorithms from scratch, covering regression, classification, optimization, ensemble methods, clustering, and neural networks with hands-on coding.

• CodeSignal
• On-Demand
• Free Certificate
• 6 courses

Microcredential

Mastering Dimensionality Reduction with Python

Master Python-based dimensionality reduction techniques from PCA to autoencoders, learning to extract essential features from complex datasets and optimize machine learning model performance through hands-on practice.

• CodeSignal
• On-Demand
• Free Certificate
• 5 courses

Statistics for Applications

1 review

This course offers an in-depth the theoretical foundations for statistical methods that are useful in many applications.

• MIT OpenCourseWare
• 28 hours
• On-Demand
• Free Video

Mathematics for Machine Learning: PCA

3098 ratings at Coursera

Explore mathematical foundations of Principal Component Analysis (PCA) for dimensionality reduction. Learn statistics, inner products, orthogonal projections, and derive PCA from a geometric perspective.

• Coursera
• 20 hours 39 minutes
• On-Demand
• Free Online Course (Audit)

Matrix Methods

238 ratings at Coursera

Explore fundamental matrix methods essential for machine learning and data analysis, including multiplication, linear equations, orthogonality, and SVD for dimensionality reduction and PCA.

• Coursera
• 6 hours 35 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

Mathematics for Machine Learning

1 review

Gain essential mathematical foundations for machine learning, covering linear algebra, multivariate calculus, and dimensionality reduction with PCA. Build intuitive understanding and practical skills for advanced ML and data science.

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

Clustering Analysis

Explore unsupervised learning techniques, including clustering methods and dimension reduction, to uncover patterns and insights in diverse datasets through hands-on tutorials and case studies.

• Coursera
• 1 day 13 hours 1 minute
• On-Demand
• Free Online Course (Audit)

Resampling, Selection and Splines

Explore advanced statistical learning techniques for data science, including resampling methods, model optimization, and non-linear approaches to enhance prediction accuracy and interpretability.

• Coursera
• 15 hours 55 minutes
• On-Demand
• Free Online Course (Audit)

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

Executive Briefing - Data Science and Machine Learning

7333 ratings at Udemy

Get a non-technical overview of Data Science and Machine Learning for Executives!

• Udemy
• 1 hour 58 minutes
• 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