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Learn the foundations of Bayesian Networks and how to use them as a practical research framework with the BayesiaLab software platform.
The course is taught at a beginner level, so no prior knowledge of Bayesian networks is necessary. However, undergraduate-level familiarity with probability theory and statistics is recommended.

In conjunction with the seminars, participants have access to an unrestricted 90-day license of BayesiaLab Professional (the very latest release), so they can experiment with the full array of functions during and after the training.

The classes are limited to a maximum of 10 participants in order to allow for one-on-one coaching during the hands-on exercises with BayesiaLab. This small-group format provides a productive yet informal learning environment that facilitates a lively dialogue between participants from a wide range of backgrounds.

Learn the advanced knowledge modeling, machine learning and analysis methods with Bayesian networks and BayesiaLab.
Participants in the Advanced Course are required to have completed the Introductory Course.

In conjunction with the seminars, participants have access to an unrestricted 60-day license of BayesiaLab Professional (the very latest release), so they can experiment with the full array of functions during and after the training.

The classes are limited to a maximum of 10 participants in order to allow for one-on-one coaching during the hands-on exercises with BayesiaLab. This small-group format provides a productive yet informal learning environment that facilitates a lively dialogue between participants from a wide range of backgrounds.