SAS defines analytics as “data-driven insight for better decisions.” Popular topics in this section include aspects of data modeling and forecasting, as well as demonstrations of analytic procedures, such as analysis of variance, Bayesian statistics, logistic regression, mixed models, factor analysis, and time series analyses. Presentations offered include practical applications and results of statistical methods used to analyze data from a variety of fields.
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