Health Data Analysis Courses

Mathematics of Big Data and Machine Learning

Explore the Dynamic Distributed Dimensional Data Model (D4M) to tackle Big Data challenges using graph theory, linear algebra, and databases. Apply this innovative approach to real-world problems in various fields.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Innovation Systems for Science, Technology, Energy, Manufacturing, and Health

Explore science and technology policy, examining innovation systems in energy, computing, manufacturing, and health sectors, with emphasis on public policy and federal government's role.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Aligning Language Models with LESS Data and Simple Preference Optimization (SimPO)

Discover innovative approaches to language model alignment through LESS data selection and SimPO optimization, achieving superior performance with reduced computational resources and simplified objectives.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Data, Economics, and Design of Policy: International Development

Explore the economic and political dimensions of global poverty through data-driven approaches, preparing for career advancement or accelerated graduate studies at MIT.

• MITx Online
• 48 weeks, 12-14 hours/week
• Self-Paced
• Free Online Course

Data, Economics, and Design of Policy: Public Policy

Gain insights into evaluating policy effectiveness using data and evidence, preparing for career advancement or accelerated graduate studies at MIT or other universities.

• MITx Online
• 48 weeks, 12-14 hours/week
• Self-Paced
• Free Online Course

Redefining Context for Powerful Test-Time Adaptation Using Unlabeled Data

Explore advanced test-time adaptation techniques for foundation models, focusing on context-driven approaches to improve model performance across different domains using unlabeled data and inductive biases.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

Analysis of Transport Phenomena: Asymptotics

Dive into mathematical modeling of transport phenomena with asymptotic analysis techniques for heat transfer, fluid dynamics, and chemical reactions.

• MITx Online
• 2 weeks, 10-12 hours/week
• Self-Paced
• Free Online Course

Analysis of Transport Phenomena: Convection

Master mathematical modeling of heat and mass transfer, fluid dynamics, chemical reactions, and phase transformations through boundary-layer convection, Taylor dispersion, natural convection, and turbulent convection.

• MITx Online
• 6 weeks, 10-12 hours a week
• Self-Paced
• Free Online Course

Analysis of Transport Phenomena: Electrochemical Transport

Dive into mathematical modeling of heat, mass transfer, fluid dynamics, chemical reactions, and electrochemical transport phenomena at the graduate level.

• MITx Online
• 2 weeks, 10-12 hours/week
• Self-Paced
• Free Online Course

Analysis of Transport Phenomena: Mathematical Formulation

Dive into mathematical modeling of transport phenomena, covering heat transfer, fluid dynamics, chemical reactions, and phase transformations with advanced analytical methods.

• MITx Online
• 4 weeks, 10-12 hours/week
• Self-Paced
• Free Online Course

Analysis of Transport Phenomena: Models

Dive into mathematical modeling of heat, mass transfer, fluid dynamics, chemical reactions, and phase transformations with integral and differential conservation equations.

• MITx Online
• 2 weeks, 10-12 hours/week
• Self-Paced
• Free Online Course

Analysis of Transport Phenomena: Scaling

Explore mathematical modeling of transport phenomena, including dimensional analysis, similarity solutions, and Green functions for diffusion, fluid dynamics, and reactions.

• MITx Online
• 3 weeks, 10-12 hours/week
• Self-Paced
• Free Online Course

Analysis of Transport Phenomena: Series Expansions

Dive into mathematical modeling of transport phenomena, exploring Fourier series, Sturm-Liouville theory, and eigenfunction expansions for heat transfer, fluid dynamics, and chemical reactions.

• MITx Online
• 6 weeks, 10-12 hours/week
• Self-Paced
• Free Online Course

Collaborative Data Science for Healthcare

Explore data science principles, electronic health records analysis, and AI/ML applications to improve population health through collaborative healthcare analytics.

• MITx Online
• Self-Paced
• Free Online Course

Computational Music Theory and Analysis

Explore computational approaches to music theory using Python and MIT's music21 toolkit, covering algorithms, corpus studies, machine learning, and music generation techniques.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course