Module 1: Basic introduction to SAS.
What
is SAS?
Module 2: Orientation to SAS
Using
SAS in the Windows environment.
Module 3: SAS Data Handling & file types
The
Data Step Module 4: Frequently used
Procedures (likely to continue into Part II)
Frequently used PROCs 
SAS Institute
SAS Documentation provides documentation for an A  Z list of products.
SAS
Base Documentation includes links for Adobe & HTML user guides on SAS Base
functions.
What’s new in SAS/STAT software
Introduction to SAS/STAT software
Introduction to:
analysis of variance procedures,
regression procedures,
general linear model estimation,
nonparametric analysis,
categorical analysis procedures,
multivariate procedures,
survey sampling and analysis procedures,
survival analysis procedures,
clustering procedures,
structural equation modeling (SEM),
statistical modeling with SAS/STAT software,
mixed modeling procedures,
Bayesian analysis procedures
UCLA Statistical Computing
SAS Resources
Overview of
statistical tests and how to in SAS
NoTSUG (North Texas
SAS Users Group).
Recommended text (1): O'Rourke, N., Hatcher, L., &
Stepanski, E.J. (2005). A stepbystep approach to using SAS for univariate and
multivariate statistics, Second Edition. Cary, NC: SAS Institute Inc.
(All syntax for that book can be found
here).
Recommended text (2): Hatcher, L. (1994). A
stepbystep approach to using the SAS System for factor analysis and structural
equation modeling. Cary, N.C.: SAS Institute Inc. (All syntax for that
book can be found here).
Research and Statistical Support statistical resources
workshop
Fairly comprehensive comparison of just about all statistical software packages:
Wiki

Module 7: Component Analysis & Factor Analysis.
Component and
Factor Analysis; and Internal Consistency Analysis
Module 8: Path Analysis & Structural Equation Modeling
Basic
Path Analysis with Manifest Variables
Some introduction to Structural Equation Modeling (SEM):
Stage
1: Verifying the Measurement Model
Stage 2: Testing the Structural Model
Module 9: Miscellaneous
Bootstrapped
resampling for ttest confidence intervals
Exploration of
Linear
Mixed Models (i.e. Hierarchical Linear Modeling). 