Bayesian

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Game Theory (Coursera) Coursera
Stanford University,The University of British Columbia

Game Theory (Coursera)

Dive into the fascinating world of Game Theory with this comprehensive online course. Explore the strategic interactions among rational agents and learn to apply these principles in various real-life situations, from international relations to market trading. Whether you're a student or a professional, this course will equip you with the tools to make informed decisions in competitive environments.

Jun 8th 2026
5-12 Weeks
Probabilistic Graphical Models 1: Representation (Coursera) Coursera
Stanford University

Probabilistic Graphical Models 1: Representation (Coursera)

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
Probabilistic Graphical Models 3: Learning (Coursera) Coursera
Stanford University

Probabilistic Graphical Models 3: Learning (Coursera)

Explore advanced concepts in Probabilistic Graphical Models (PGMs) with 'Probabilistic Graphical Models 3: Learning'. This course delves deep into learning techniques for complex domains, enabling you to encode sophisticated joint distributions over numerous interacting variables. Gain insights into state-of-the-art methods and apply them across various fields such as healthcare, image processing, speech recognition, and natural language processing.

Jun 8th 2026
5-12 Weeks
Bayesian Statistics (Coursera) Coursera
Duke University

Bayesian Statistics (Coursera)

Embark on an enlightening journey into the world of Bayesian Statistics with this engaging Coursera course. Master the art of updating your inferences based on accumulating evidence, learning to transform prior probabilities into insightful posterior probabilities. Delve into the theory and perspective that underpin the Bayesian approach, equipping you with a powerful toolset for data analysis.

Jun 1st 2026
5-12 Weeks
Bayesian Statistics: From Concept to Data Analysis (Coursera) Coursera
University of California, Santa Cruz

Bayesian Statistics: From Concept to Data Analysis (Coursera)

Dive into the world of Bayesian Statistics with our introductory course. Starting from fundamental probability concepts, we guide you through understanding the Bayesian approach and its practical application in data analysis. Compare it to the traditional Frequentist method and uncover the unique benefits of Bayesian statistics.

May 25th 2026
4 Weeks
Improving your statistical inferences (Coursera) Coursera
Eindhoven University of Technology

Improving your statistical inferences (Coursera)

Unlock the secrets to making better statistical inferences from empirical research with our expert-led online course. Gain a deep understanding of key concepts like p-values, effect sizes, confidence intervals, Bayes Factors, and likelihood ratios. Learn how to design experiments that effectively control false positive rates and determine the right sample size for your study to achieve high statistical power.

May 18th 2026
5-12 Weeks
Robotics: Estimation and Learning (Coursera) Coursera
University of Pennsylvania

Robotics: Estimation and Learning (Coursera)

Dive into the fascinating world of Robotics: Estimation and Learning on Coursera. This course will teach you how to equip robots with the ability to estimate their own states and understand the surrounding environment using noisy sensor data. Explore probabilistic generative models, Bayesian filtering for localization and mapping, and more.

Jan 13th 2025
4 Weeks
Data Science Math Skills (Coursera) Coursera
Duke University

Data Science Math Skills (Coursera)

Embark on an educational journey designed to equip you with the fundamental math skills necessary for excelling in data science. This course is perfect for beginners who want to build a strong foundation in basic algebra, probability, statistics, and linear algebra without prior advanced math knowledge. Learn at your own pace and gain the confidence needed to tackle complex statistical analyses.

Dec 2nd 2024
4 Weeks
Introduction to Bayesian Data Analysis (openHPI) OpenHPI
Hasso-Plattner-Institut

Introduction to Bayesian Data Analysis (openHPI)

Embark on a journey into the world of Bayesian data analysis with our free course designed for those familiar with R programming language. This course will guide you through basic concepts such as random variables, probability distributions, and Bayes' theorem, applying these principles to simple data analysis problems. You'll delve into regression modeling using the brms package and gain a brief introduction to hierarchical models. Ideal for anyone who has previously engaged in frequentist data analysis.

Jan 25th 2023
5-12 Weeks
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