Learning Path: Advanced Analytics


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

 

Getting Started
FREEIntroduction to Statistical Concepts
Essential Data Analysis Using SAS Studio Tasks: A Point-and-Click Approach
Principles and Best Practices
Profit-Driven Business Analytics

Graphing Data Effectively and Avoiding Common Pitfalls

Strategies and Concepts for Data Scientists and Business Analysts (15.2)
SAS Programmers
Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression
SAS Enterprise Guide Users
SAS Enterprise Guide: ANOVA, Regression, and Logistic Regression
Analysts
Survival Analysis Using the Proportional Hazards Model
Statistics 2: ANOVA and Regression
Categorical Data Analysis Using Logistic Regression
Regression Methods Using SAS Viya

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
Bayesian Analyses Using SAS
Statistical Analysis with the GLIMMIX Procedure
Free Resources
FREESAS Tutorials for Analytics
FREEAsk the Expert

 

Advanced and Specialty Courses
Getting Started with SAS Studio: A Point-and-Click Approach
Applied Clustering Techniques
Programming with SAS/IML Software
SAS Programming for R Users
Design of Experiments for Direct Marketing
Statistical Process Control Using SAS/QC Software
Neural Network Modeling
Business Knowledge Series   Business Knowledge Series
User-Friendly, Comprehensive SAS Statistical Applications: Classification Models"
User-Friendly, Comprehensive SAS Statistical Applications: Multivariate Models"
User-Friendly, Comprehensive SAS Statistical Applications: Regression Models"
Analytical Approaches to Solving Problems in Communications and Media
Establishing Causal Inferences: Propensity Score Matching, Heckman's Two-Stage Model, Interrupted Time Series, and Regression Discontinuity Models New
Explaining Analytics to Decision Makers: Insights to Action
Getting the Most Out of Testing in Direct/Internet Marketing
Multilevel Modeling of Hierarchical and Longitudinal Data Using SAS
e-Learning
Advanced Statistical Modeling Using the NLMIXED Procedure
Conjoint Analysis: Evaluating Consumer Preferences Using SAS Software
Discrete Choice Modeling Using SAS Software
Determining Power and Sample Size Using SAS/STAT Software
Fitting Poisson Regression Models Using the GENMOD Procedure
Fitting Tobit and Other Limited Dependent Variable Models
Robust Regression Techniques in SAS/STAT