High-Dimensional Data Analysis Courses and Certifications

Institute for Pure & Applied Mathematics (IPAM)

Low Rank Tensor Methods in High Dimensional Data Analysis

Explore low rank tensor methods for analyzing high-dimensional data in various fields. Learn about recent progress, challenges, and applications in extracting information from multilinear arrays.

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

Applied Algebraic Topology Network

High-Dimensional Data, Level-Set Geometry, and Voronoi Analysis of Point Sets

Explore spatial point sets, high-dimensional data analysis, and Voronoi cell topology to understand complex physical systems and classify data structures in innovative ways.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Low Rank Tensor Methods in High Dimensional Data Analysis

Explore advanced tensor methods for analyzing high-dimensional data, focusing on recent developments, challenges, and applications in various scientific fields.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Video

Introduction to Linear Models and Matrix Algebra

12 reviews

Learn to use R programming to apply linear models to analyze data in life sciences.

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

Applied Algebraic Topology Network

The Mapper Algorithm and Reeb Graphs

Explore the mapper algorithm in applied topology, its connection to Reeb graphs, and its application to high-dimensional data analysis and 3D object recognition.

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

International Mathematical Union

Mean Estimation in High Dimension

Exploring recent advances in high-dimensional mean estimation, focusing on statistical challenges and computational aspects for independent, identically distributed data.

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

Simons Institute

Recent Progress in Algorithmic Robust Statistics via the Sum-of-Squares Method

Explore recent advancements in algorithmic robust statistics using the Sum-of-Squares method, focusing on learning and testing in high-dimensional spaces.

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

Simons Institute

Robust List Decoding of Spherical Gaussians

Explore robust list decoding of spherical Gaussians, covering algorithms, error identification, and computational challenges in high-dimensional statistics.

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

High-Dimensional Data Analysis

15 ratings at edX

A focus on several techniques that are widely used in the analysis of high-dimensional data.

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

Chemometrics & Machine Learning in Copenhagen

Dual-SPLS - A Versatile Approach Improving PLS with Lasso Shrinkage

Explore dual-sPLS, an innovative algorithm combining PLS and Lasso for improved variable selection and dimension reduction in high-dimensional analytical chemistry problems, offering enhanced accuracy and interpretability.

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

Alan Turing Institute

Mathematical Representations and Models - Professor Jared Tanner, Oxford University

Explore mathematical models for high-dimensional data analysis with Oxford's Prof. Tanner. Learn about Fourier series, localisation, coherence, and advanced techniques for efficient information extraction and processing.

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

Isaac Newton Institute for Mathematical Sciences

Discovery in High Dimensions - 2008

Explore statistical methods for uncovering hidden structures in high-dimensional data from various fields, including genetics, astronomy, and consumer behavior.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Tools of High Dimensional Data - Lecture 3

Explore tools for analyzing high-dimensional data in genetics and evolution. Learn techniques to understand complex genetic architectures and their role in adaptive processes.

• YouTube
• 1 hour 45 minutes
• On-Demand
• Free Video

Microcredential

Data Analysis for Life Sciences

Comprehensive R programming series for life sciences data analysis, covering statistics, linear models, high-throughput experiments, and high-dimensional data techniques to drive biomedical research and discoveries.

• edX
• 16 weeks, 2-4 hours a week
• On-Demand
• $876.00
• 4 courses

Stanford Seminar - Towards Theories of Single-Trial High Dimensional Neural Data Analysis

Explore high-dimensional neural data analysis, focusing on single-trial theories, task complexity, and latent state recovery. Gain insights into advanced neuroscience concepts and methodologies.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Online Course