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TheBayesiaLab 101course is a new training program that helps you get started with Bayesian networks and the BayesiaLab 8 software platform. It provides you with an economical way to begin your journey into the world of research, analytics, and reasoning with Bayesian networks.
This innovative course program combines a60-day BayesiaLab Education Editionlicense with an extensive array oftraining materials(case studies, example networks, and data sets) for self-study, plus a dedicatedonline forumthat encourages discussions with your fellow course participants.
Additionally, course participants are invited to join a complimentaryone-day classroom sessionat the beginning of the course. Finally, at the end of the 60-day license period, you can complete an online quiz to receive yourBayesiaLab 101 Certificate.
The objective of BayesiaLab 101 is that you will become familiar with the "nuts and bolts" of Bayesian networks and BayesiaLab. That means you will understand what happens inside a Bayesian network, as opposed to just knowing how to operate a piece of software. This will enable you to recognize how Bayesian networks relate to your current analytics work, and how they might transform your existing analytics practice. and help further your career development. Please note, however, that the discussion of algorithms will be out of scope for this course.
Finally, BayesiaLab 101 is also an excellent preparationbut not a requirementfor the more comprehensivethat we offer on a regular basis around the world. For those who have hesitated to sign up for these professional three-day classroom-based courses, BayesiaLab 101 provides a shorter and gentler introduction but does not take any shortcuts.
The complimentary one-day classroom session at the beginning of the BayesiaLab 101 course focuses on the fundamentals of the Bayesian network paradigm, such as how Bayes's theorem facilitates probabilistic reasoning with graphical models. The hands-on exercises in the classroom session emphasize developing an intuition for Bayesian inference.Similarly, you will rehearse the basic functionality of BayesiaLab during the classroom session so you can you to work independently on exercises during the license period.
Another key objective of this introductory session is to give you a sense where Bayesian networks belong in the world of Data Science and Artificial Intelligence.Bayesian networksare not just another tool, but a fundamentally different framework that allows exploring questions, including causal questions, that would otherwise be impossible to answer.
It is important to note that the classroom session puts great emphasis on mastering the basics through elementary exercises before proceeding to more ambitious applications. We want you to develop an in-depth comprehension with regard to the underlying principles, so you can ultimately build complex models with confidence, such as the ones you will learn in one of the comprehensive three-day.
During the BayesiaLab 101 course, you will use the Education Edition of BayesiaLab 8 on your own computer. The Education Edition is functionally equivalent to the full commercial edition of BayesiaLab Professional, with the following exceptions: