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Mixed Modeling Courses

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Advanced Analytics

Statistically analyze and interpret data with SAS programs or SAS Enterprise Guide to make data-driven decisions.

View the SAS Viya learning path to learn how SAS 9 and SAS Viya work together.

Strategies and Concepts for Data Scientists and Business Analysts		Analytics: Putting It All to Work		Profit-Driven Business Analytics
NEWStrategic Planning and Decision-Making: Powered by SAS

Survival Analysis Using the Proportional Hazards Model Statistics 2: ANOVA and Regression Categorical Data Analysis Using Logistic Regression

Multivariate Statistics for Understanding Complex Data Longitudinal Data Analysis with Discrete and Continuous Responses Mixed Models Analyses Using SAS Probability Surveys 1: Design, Descriptive Statistics, and Analysis

Structural Equation Modeling Using SAS Bayesian Analyses Using SAS Statistical Analysis with the GLIMMIX Procedure

NEWUser-Friendly and Comprehensive Classification Models

NEWUser-Friendly and Comprehensive Multivariate Models

NEWUser-Friendly, Comprehensive SAS Statistical Applications: Regression Models

Advanced and Specialty Courses Applied Clustering Techniques Design of Experiments for Direct Marketing Neural Network Modeling Programming with SAS/IML Software Statistical Process Control Using SAS/QC Software

Business Knowledge Series   Analytical Approaches to Solving Problems in Communications and Media Best Practices in Cluster Analysis for Customer Relationship Management (CRM) Establishing Causal Inferences: Propensity Score Matching, Heckman's Two-Stage Model, Interrupted Time Series, and Regression Discontinuity Models Explaining Analytics to Decision Makers: Insights to Action Getting the Most Out of Testing in Direct/Internet Marketing Imputation Techniques in SAS Multilevel Modeling of Hierarchical and Longitudinal Data Using SAS Propensity Score Matching, Adjustment, and Randomized Experiments Strategic Planning and Decision-Making: Powered by SAS

e-Learning Advanced Statistical Modeling Using the NLMIXED Procedure Conjoint Analysis: Evaluating Consumer Preferences Using SAS Software Determining Power and Sample Size Using SAS/STAT Software Discrete Choice Modeling Using SAS Software Fitting Poisson Regression Models Using the GENMOD Procedure Fitting Tobit and Other Limited Dependent Variable Models Robust Regression Techniques in SAS/STAT SAS Programming for R Users