Free Online Markov Model Courses & MOOCs

Coursera

Peking University

Bioinformatics: Introduction and Methods 生物信息学: 导论与方法 (Coursera)

Sci: Biology & Life Sciences CS: Theory

Welcome to 'Bioinformatics: Introduction and Methods', a Coursera course offered by Peking University. This MOOC is designed to introduce you to the interdisciplinary field of bioinformatics, where biology meets computer science. You'll explore key concepts and learn practical computational methods that are crucial for analyzing biological data. Whether you're a student, researcher, or simply curious about how technology can be applied in biology, this course will equip you with valuable knowledge and skills.

Jun 22nd 2026

13-24 Weeks

Science Bioinformatics Computational Methods

Coursera

University of Michigan

Model Thinking (Coursera)

Economics & Finance Humanities

In this comprehensive online course, 'Model Thinking', you'll explore the art and science of creating simplified representations of complex realities to better understand and navigate the world around us. Whether you're a student, professional, or simply curious about how we make sense of the chaos in our lives, this course will equip you with powerful tools to organize information, predict outcomes, and improve your decision-making processes.

Jun 15th 2026

5-12 Weeks

Business Economics Models

Coursera

Stanford University

Probabilistic Graphical Models 1: Representation (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of Probabilistic Graphical Models 1: Representation, a Coursera course designed for those eager to understand how to represent complex joint probability distributions. This course explores the intersection of statistics and computer science, teaching you essential concepts from probability theory, graph algorithms, and machine learning that are crucial in developing state-of-the-art methods across numerous applications.

Jun 8th 2026

5-12 Weeks

MATLAB Octave Machine Learning

EdX

École Polytechnique Fédérale de Lausanne,EPFLx

Advanced statistical physics (edX)

Sci: Physics

Embark on an advanced journey into the fascinating realm of statistical physics with this edX course. Delve deep into both classical and quantum systems, unraveling the mysteries behind non-equilibrium processes, fluctuation dissipation relations, and much more. Gain a profound understanding of probabilistic data analysis techniques that are crucial in various applications. This course is designed for those who have a foundational knowledge of statistical physics and wish to explore its advanced concepts.

Self Paced

Self-Paced

Physics Statistics Statistical Methods