Dimension Reduction Courses and Certifications

Applied Algebraic Topology Network

Dimension Reduction - An Overview

Comprehensive overview of dimension reduction techniques, from linear methods like PCA to nonlinear approaches such as LLE, Isomap, t-SNE, and UMAP, with practical application to chemical reaction data.

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

Centre International de Rencontres Mathématiques

Dimension Reduction in Thin Domains - Lecture 2

Explore dimension reduction techniques for thin domains, focusing on Dirichlet Laplacian behavior in 2D and 3D strips with varying geometries and boundary conditions.

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

Centre International de Rencontres Mathématiques

Dimension Reduction in Thin Domains - Lecture 1

Explore dimension reduction techniques for thin domains, examining Dirichlet Laplacian behavior on strips and how geometry affects eigenvalue asymptotics as width approaches zero.

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

Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Non-interpenetration in Thin-film Models of Elastic Solids

Explore non-interpenetration in thin-film models for elastic solids, focusing on dimension reduction, membrane regimes, and suitable conditions for preventing material penetration.

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

INI Seminar Room 2

Truly Predictive Reduced Order Modeling for Complex Multi-scale, Multi-physics Problems

Delve into advanced reduced order modeling techniques for complex systems, focusing on combustion dynamics in rocket engines and exploring robust, predictive approaches for multi-scale problems.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video

Unsupervised Learning in Python

81 ratings at DataCamp

Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

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

Exploratory Data Analysis

6088 ratings at Coursera

Mastering essential exploratory techniques for summarizing data, including R plotting systems, multivariate statistical methods, and advanced graphing tools for high-dimensional data visualization.

• Coursera
• 55 hours
• On-Demand
• Paid 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

Simons Institute

K-Means and K-Medians Under Dimension Reduction

Explore k-means and k-medians clustering algorithms under dimension reduction, examining distortion graphs, cost analysis, and combinatorial lemmas for robust high-dimensional statistics.

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

Institut des Hautes Etudes Scientifiques (IHES)

Manifold Learning with Noisy Data: Dimension Reduction and Support Estimation

Explore manifold learning techniques for high-dimensional data with noise, covering dimension reduction, support estimation, and robustness in geometric approaches.

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

Harvard CMSA

Dimension Reduction and Adiabatic Limits of Generalized ASD Instantons

Explore dimension reduction techniques for generalized anti-self-dual instantons over product manifolds, including G2 and Spin(7) cases with adiabatic limit analysis.

• YouTube
• 1 hour 8 minutes
• On-Demand
• Free Video

London School of Economics and Political Science

Machine Learning: Practical Applications

Acquire technical machine learning skills to solve business challenges using regression, classification, neural networks, and R programming for data-driven decision making.

• GetSmarter
• 8 weeks, 9 hours a week
• 24th Jun, 2026
• Paid Course

Microcredential

Data Analysis with Python

29 ratings at Coursera

Comprehensive overview of data analysis techniques using Python, covering classification, regression, clustering, and more. Includes hands-on examples and a final project.

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

Clustering Analysis

11 ratings at Coursera

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 2 minutes
• On-Demand
• Paid Course

Data Analysis with Python Project

Comprehensive exploration of data analysis techniques, from classification to outlier detection, empowering learners to conduct real-world projects and make data-driven decisions.

• Coursera
• 18 hours 11 minutes
• On-Demand
• Paid Course