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Statistical Analysis Topic: Git | Code: LONG41
SAS - Longitudinal Data Analysis with Discrete and Continuous Responses (Course)
LONG41
This course is for scientists and analysts who want to analyze observational data collected over time. It is not for SAS users who have collected data in a complicated experimental design. They should...
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Statistical Analysis Topic: First | Code: SUV141
SAS - Probability Surveys 1: Design, Descriptive Statistics, and Analysis (Course)
SUV141
This course focuses on designing business and household surveys and analyzing data collected under complex survey designs. The course addresses the SAS procedures POWER, SURVEYSELECT, SURVEYMEANS,...
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Statistical Analysis Topic: First | Code: MULT42
SAS - Multivariate Statistics for Understanding Complex Data (Course)
MULT42
This course teaches how to apply and interpret a variety of multivariate statistical methods to research and business data. The course emphasizes understanding the results of the analysis and...
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Statistical Analysis Topic: First | Code: ST142
SAS - Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression (Course)
ST142
This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to...
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Statistical Analysis Topic: Business Intelligence | Code: SSEDA
Essential Data Analysis Using SAS(R) Studio Tasks: A Point-and-Click Approach (Course)
SSEDA
In this course, you gain introductory knowledge into exploratory data analysis using SAS Studio tasks that execute the FREQ, MEANS, and UNIVARIATE procedures. The course focuses on the differences...
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Statistical Analysis Topic: Business Intelligence | Code: MMUS42
Managing SAS(R) Analytical Models Using SAS(R) Model Manager Version 14.2 (Course)
MMUS42
This course focuses on the following key areas: managing SAS Model Manager data sources, creating a SAS Model Manager project, importing models into SAS Model Manager, using the SAS Model Manager...
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Statistical Analysis Topic: Business Intelligence | Code: AGLM42
Mixed Models Analyses Using SAS(R) (Course)
AGLM42
This course teaches you how to analyze linear mixed models using the MIXED procedure. A brief introduction to analyzing generalized linear mixed models using the GLIMMIX procedure is also included....
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Statistical Analysis Topic: First | Code: ST242
SAS - Statistics 2: ANOVA and Regression (Course)
ST242
This course teaches you how to analyze continuous response data and discrete count data. Linear regression, Poisson regression, negative binomial regression, gamma regression, analysis of variance,...
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Statistical Analysis Topic: First | Code: CLUS51
SAS - Applied Clustering Techniques (Course)
CLUS51
The course looks at the theoretical and practical implications of a wide array of clustering techniques that are currently available in SAS. The techniques considered include cluster preprocessing,...
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Statistical Analysis Topic: Business Intelligence | Code: AAEM51
Applied Analytics Using SAS(R) Enterprise Miner(TM) (Course)
AAEM51
This course covers the skills that are required to assemble analysis flow diagrams using the rich tool set of SAS Enterprise Miner for both pattern discovery (segmentation, association, and sequence...
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Statistical Analysis Topic: First | Code: CDAL42
SAS - Categorical Data Analysis Using Logistic Regression (Course)
CDAL42
This course focuses on analyzing categorical response data in scientific fields. The SAS/STAT procedures addressed are PROC FREQ, PROC LOGISTIC, PROC VARCLUS, and PROC GENMOD. The ODS Statistical...
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Statistical Analysis Topic: Business Intelligence | Code: STBA42
Bayesian Analyses Using SAS(R) (Course)
STBA42
The course focuses on Bayesian analyses using the PHREG, GENMOD, and MCMC procedures. The examples include logistic regression, Cox proportional hazards model, general linear mixed model,...
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Statistical Analysis Topic: First | Code: GLIM42
SAS - Statistical Analysis with the GLIMMIX Procedure (Course)
GLIM42
This course focuses on the GLIMMIX procedure, a procedure for fitting generalized linear mixed models. Skills Gained analyze binomial data with random effects fit a Poisson regression model and a beta...
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