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Advanced Analytics

Statistical Analysis

Learn basic statistical concepts and how to analyze and interpret data with SAS programs or SAS Enterprise Guide to make data driven decisions.

Principles and Best Practices
NEW Introduction to Statistical Concepts
SAS Enterprise Guide Users
SAS Enterprise Guide: ANOVA, Regression, and Logistic Regression
SAS Programmers
Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression
Survival Analysis Using the Proportional Hazards Model

Statistics 2: ANOVA and Regression

Categorical Data Analysis Using Logistic Regression

Multivariate Statistical Methods: Practical Research Applications

Longitudinal Data Analysis with Discrete and Continuous Responses

Mixed Models Analyses Using SAS

Probability Surveys 1: Design, Descriptive Statistics, and Analysis
Business Knowledge Series
NEWStructural Equation Modeling Using SAS

Bayesian Analyses Using SAS

Statistical Analysis With the GLIMMIX Procedure
Advanced and Specialty Courses
Advanced Statistical Modeling Using the NLMIXED Procedure
Applied Clustering Techniques
Determining Power and Sample Size Using SAS/STAT Software
Fitting Poisson Regression Models Using the GENMOD Procedure
Introduction to Programming with SAS/IML Software
Managing SAS Analytical Models Using SAS Model Manager
Neural Network Modeling
Statistical Process Control Using SAS/QC Software
Business Knowledge Series   Business Knowledge Series
Advanced Analytics for Customer Intelligence Using SAS
Advanced Analytics for the Modern Business Analyst
Analytics: Putting It All to Work
Applying Survival Analysis to Business Time-to-Event Problems
Credit Scorecard Development and Implementation
Custom Designs for Experiments Using JMP Software
Fitting Tobit and Other Limited Dependent Variable Models
Imputation Techniques in SAS
Multilevel Modeling of Hierarchical and Longitudinal Data Using SAS
Multiple Comparisons and Multiple Tests Using SAS
Multiple Comparisons in SAS: Classical to Modern Methods
Propensity Score Matching, Adjustment, and Randomized Experiments
Robust Regression Techniques in SAS/STAT
Stationarity Testing and Other Time Series Topics