Health Data Analysis Courses

Real Analysis

Master rigorous mathematical proof techniques while exploring real numbers, limits, series, metric spaces, differentiation, and integration in this foundational analysis program.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Analysis of Transport Phenomena: Fluid Mechanics

Dive into mathematical modeling of fluid dynamics, heat transfer, and continuum mechanics, exploring concepts from Navier-Stokes equations to linear stability analysis.

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

Data Analysis for Social Scientists

Learn data analysis techniques for social sciences, including probability, statistics, regression, experiments, and machine learning, with real-world applications and R programming instruction.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Introduction to Functional Analysis

Explore advanced mathematical concepts in normed spaces, including Banach and Hilbert spaces, operators, and spectral theory. Gain insights into solving linear and nonlinear problems in infinite-dimensional settings.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Analysis of Transport Phenomena: Nonequilibrium Thermodynamics

Explore mathematical modeling of heat, mass transfer, fluid dynamics, chemical reactions, and phase transformations in this graduate-level introduction to nonequilibrium thermodynamics.

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

Analysis of Transport Phenomena

Master mathematical modeling techniques for transport phenomena, covering scaling, asymptotics, fluid mechanics, convection, and electrochemical transport in this graduate-level introduction.

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

Genetics: Analysis and Applications

Enhance your scientific thinking through an in-depth adventure in genetics, learning terminology, experimental techniques, mutation analysis, and the impact of genetics on development and behavior.

• MITx Online
• 7 weeks, 4-6 hours/week
• Self-Paced
• Free Online Course

Probabilistic Systems Analysis and Applied Probability

A course on the modeling and analysis of random phenomena and processes, including the basics of statistical inference.

• MIT OpenCourseWare
• 21 hours
• Self-Paced
• Free Video

Probabilistic Systems Analysis and Applied Probability

This course introduces students to the modeling, quantification, and analysis of uncertainty.

• MIT OpenCourseWare
• 32 hours
• Self-Paced
• Free Video

Data Analysis for Social Scientists

Master methods for analyzing data to answer cultural, social, economic, and policy questions using R, probability, statistics, and machine learning techniques.

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

Computational Data Science in Physics I

Explore realistic physics research examples using computational methods to analyze LIGO data, detect gravitational waves, and fit signals within physical models using Jupyter notebooks.

• MITx Online
• 6 weeks, 10-15 hours/week
• Self-Paced
• Free Online Course

Computational Data Science in Physics II

Master computational methods for physics research, including hypothesis testing, semi-parametric methods, deep learning, and analyzing LHC data to measure W and Z boson properties.

• MITx Online
• 7 weeks, 10-15 hours/week
• Self-Paced
• Free Online Course

Computational Data Science in Physics III

Dive into numerical simulations for physics research, from differential equations to lattice models, culminating in applications relevant to contemporary lattice QCD.

• MITx Online
• 7 weeks, 10-15 hours/week
• Self-Paced
• Free Online Course

Mathematics of Big Data and Machine Learning, IAP 2020

Explore artificial intelligence and machine learning with a focus on data handling challenges, covering topics from associative arrays to bio sequence cross-correlation and Kronecker graphs.

• YouTube
• 14 hours
• Self-Paced
• Free Video

MIT Computational Biology - Genomes, Networks, Evolution, Health - Fall 2018

Comprehensive exploration of computational biology, covering genomics, networks, evolution, and health applications through advanced algorithms, data analysis, and cutting-edge research topics.

• YouTube
• 1 day 7 hours
• Self-Paced
• Free Video