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authorKurt Schulzke, Associate Professor of Accounting & Law, University of North Georgia, Introductory Course, Washington 2019

This is an exceptional three-day intro to Bayesian networks led by top-drawer faculty. Creating a full-dress structural equation model (SEM) in an hour sounds crazy. Because it's impossible. But not with BayesiaLab's probabilistic structural equation model (PSEM) workflow. If you're in data science and haven't experienced BayesiaLab, it's high time. Peerless supervised and unsupervised learning. BayesiaLab beats the stuffing out of traditional linear and logistic regression. No data? No problem -- use expert elicitation to build, validate and optimize your model. Three days just scratches the surface on this powerful analytical tool.