3-Day Introductory Course (IC) There are no products in this category.

Go beyond descriptive analytics and enter the realm of probabilistic and causal reasoning with Bayesian networks. Learn all about designing and machine-learning Bayesian networks with BayesiaLab (see complete course program).

This highly acclaimed course gives you a comprehensive introduction that allows you to employ Bayesian networks for applied research across many fields, such a biostatistics, decision science, econometrics, ecology, marketing science, sensory research, sociology, just to name a few.

The hallmark of this three-day course is that every segment on theory is immediately followed by a corresponding practice session using BayesiaLab. Thus, you have the opportunity to implement on your computer what the instructor just presented in his lecture. This includes knowledge modeling, probabilistic reasoning, causal inference, machine learning, probabilistic structural equation models, plus many more examples. Given the strictly limited class size, the instructor is always available to coach you one-on-one as you progress through the exercises.

After the end of the course, you can continue your studies as you will have access to your training BayesiaLab license. Additionally, a workbook, plus numerous data sets and sample networks help you to experiment independently with Bayesian networks. To date, over 1,000 researchers from all over the world have taken this course (see testimonials). For most of them, Bayesian networks and BayesiaLab have become crucial tools in their research.

  • Subcategories:
  • Introductory In-Person Classroom

    The classes are limited to a maximum of 15 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.

    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.

    Discounts are available for:

  • Introductory Online Course

    Online participants have access to the slides directly via BayesiaLab, and have access to a video of the session, showing what is projected on screen to on-site participants. 

    In conjunction with the seminar, participants have access to a 60-Day license of BayesiaLab Education Edition. It is functionally equivalent to the full commercial edition of BayesiaLab Professional used during the training session, with the following exceptions:

    • The number of variables/nodes is limited to 50,
    • The maximum size of a data set for learning is 1,000 rows/records.

    There is no mechanism to submit individual questions to the instructor, nor support for the hands-on activities.