Titlul Nivel Formatul cursurilor
Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression Free e-learning
Acest curs introductiv este adresat utilizatorilor SAS care realizează analize statistice cu pachetul SAS/STAT. Subiectele acoperă testele t, ANOVA și regresia liniară și include o scurtă introducere în regresia logistică. Acest curs, sau cunoștințele echivalente, constituie o cerință inițială multor cursuri din programul de formare în analiza statistică.

Pentru o tratare mai aprofundată a metodelor ANOVA și a regresiei, este recomandat cursul Statistics 2: ANOVA and Regression, iar pentru aprofundarea regresiei logistice sunt recomandate cursurile Categorical Data Analysis Using Logistic Regression și Predictive Modeling Using Logistic Regression.

2 Nivel de bază Classroom Live Web Classroom e-Learning
SAS Programming for R Users Free e-learning
This course is for experienced R users who want to apply their existing skills and extend them to the SAS environment. Emphasis is placed on programming and not statistical theory or interpretation. Students in this course should have knowledge of plotting, manipulating data, iterative processing, creating functions, applying functions, linear models, generalized linear models, mixed models, stepwise model selection, matrix algebra, and statistical simulations.

3 Nivel mediu e-Learning
SAS Enterprise Guide: ANOVA, Regression, and Logistic Regression
This course is designed for SAS Enterprise Guide users who want to perform statistical analyses. The course is written for SAS Enterprise Guide 7.1 along with SAS 9.4, but students with previous SAS Enterprise Guide versions will also get value from this course. An e-course is also available for SAS Enterprise Guide 5.1 and SAS Enterprise Guide 4.3.

3 Nivel mediu Classroom Live Web Classroom e-Learning
Introduction to Statistical Concepts Free e-learning
This course covers basic statistical concepts that are critical for understanding and using statistical methods. This course explains what statistics is and why it is important to understand the characteristics of your data.

The information in this course is a prerequisite for many other statistical courses that SAS Education offers. The course is appropriate for Base SAS and SAS Enterprise Guide users. Data, practices, and a case study are included.

0 Niciun nivel e-Learning
Forecasting Using SAS Forecast Server Software
This course prepares you to generate large volumes of forecasts automatically using the SAS Forecast Studio interactive interface. This course includes practice data and exercises.

This course supports both the desktop and client/server versions. Additional topics for students that license the client/server version of SAS Forecast Studio include producing reports using sample stored processes and a demonstration of SAS Time Series Studio.

The self-study e-learning includes:

  • Annotatable course notes in PDF format.
  • Virtual Lab time to practice.

2 Nivel de bază e-Learning
Einführung in die Programmierung mit der SAS/IML® Software
In diesem Kurs erfahren Sie, wie Sie die Prozedur IML in der Programmierumgebung nutzen. Sie profitieren von dem Kurs, wenn Sie SAS/IML für die Bearbeitung von Matrizen benutzen wollen oder wenn Sie SAS/IML benutzen wollen, um statistische, ökonomische oder Operations-Research-Methoden zu implementieren.

2 Nivel de bază Live Web Classroom e-Learning
Survival Analysis Using the Proportional Hazards Model
This course discusses survival analysis concepts with an emphasis on health care problems. The course focuses on the Cox proportional hazards model, not the parametric models, and is not designed for predictive modelers.

3 Nivel mediu Live Web Classroom
Building and Solving Optimization Models with SAS/OR
This course focuses on formulating and solving mathematical optimization models using the OPTMODEL procedure, from inputting data to interpreting output and generating reports. The course covers linear, integer, mixed integer, and nonlinear programming problems, with an emphasis on model formulation and construction.

3 Nivel mediu Live Web Classroom
Conjoint Analysis: Evaluating Consumer Preferences Using SAS Software Business Knowledge Series
This course discusses a method in marketing research called conjoint analysis that is used to analyze consumer preferences for products and services.The e-learning version of this course includes data so that you can practice the software demonstration steps in your own SAS environment.

3 Nivel mediu e-Learning
Discrete Choice Modeling Using SAS Software Business Knowledge Series
This marketing research course shows how to design a discrete choice experiment and how to analyze discrete choice data in SAS software. Analytical advice regarding number of choice sets, the number of alternatives, and number of subjects is also given.

This course includes practice data and exercises.

3 Nivel mediu e-Learning
Fitting Poisson Regression Models Using the GENMOD Procedure
This course is for those who analyze the number of occurrences of an event or the rate of occurrence of an event as a function of some predictor variables. For example, the rate of insurance claims, colony counts for bacteria or viruses, the number of equipment failures, and the incidence of disease can be modeled using Poisson regression models.

This course includes practice data and exercises.

3 Nivel mediu e-Learning
Determining Power and Sample Size Using SAS/STAT Software
This course teaches you how to use the POWER and GLMPOWER procedures to compute prospective power and sample size calculations.

3 Nivel mediu e-Learning
Establishing Causal Inferences: Propensity Score Matching, Heckman's Two-Stage Model, Interrupted Time Series, and Regression Discontinuity Models Business Knowledge Series
This course introduces some methods commonly used in program evaluation and real-world effectiveness studies, including two-stage modeling, interrupted time-series, regression discontinuity, and propensity score matching. These methods help address questions such as: Which medicine is more effective in the real world? Did an advertising program have an impact on sales? More generally, are the changes in outcomes causally related to the program being run?

3 Nivel mediu e-Learning
Statistical Process Control Using SAS/QC Software
This course is designed for professionals who use quality control or SPC methods to monitor, evaluate, and improve the quality of their processes. It is an ideal statistical training module to complement or supplement corporate quality training programs and Six Sigma programs.

3 Nivel mediu e-Learning
Managing SAS Analytical Models Using SAS Model Manager Version 14.2
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 Query Utility, creating scoring tasks, exporting models and projects into a SAS repository, and creating and configuring version life cycles. The course also covers generating SAS Model Manager model comparison reports, publishing and deploying SAS Model Manager models, creating SAS Model Manager production model monitoring reports, and creating user-defined reports.

The self-study e-learning includes:

  • Annotatable course notes in PDF format.
  • Virtual Lab time to practice.

3 Nivel mediu Live Web Classroom e-Learning
Categorical Data Analysis Using Logistic Regression
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 Graphics procedures used are PROC SGPLOT and PROC SGPANEL. The course is not designed for predictive modelers in business fields, although predictive modelers can benefit from the content of this course.

3 Nivel mediu Live Web Classroom e-Learning
Statistics 2: ANOVA and Regression
Acest curs tratează analiza variabilelor explicate continue și a variabilelor discrete. Sunt prezentate regresia liniară, regresia Poisson, regresia binomială negativă, regresia gamma, analiza varianței, regresia liniară cu variabile dihotomice, analiza covarianței și modele ANOVA mixte.

3 Nivel mediu Classroom Live Web Classroom e-Learning
Probability Surveys 1: Design, Descriptive Statistics, and Analysis
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, SURVEYFREQ, SURVEYREG, SURVEYLOGISTIC, and SURVEYIMPUTE. In addition, the graphing procedures GPLOT, SGPLOT, and SGPANEL are also covered.

4 Expert Live Web Classroom
Analyse de données multivariée
Ce cours enseigne comment mettre en place et interpréter les analyses de données multivariées sur des données métiers ou de recherche. Il met l'accent sur la compréhension des résultats. Il présente les résultats principalement sous forme de graphiques.

4 Expert Live Web Classroom
Longitudinal Data Analysis Using Discrete and Continuous Responses
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 take the Mixed Models Analyses Using SAS course instead.

4 Expert Live Web Classroom
Bayesian Analyses Using SAS
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, zero-inflated Poisson model, and data containing missing values. A Bayesian analysis of a crossover design and a meta-analysis are also shown.

4 Expert Live Web Classroom
Feature Engineering and Data Preparation for Analytics
This course introduces programming techniques to craft and feature engineer meaningful inputs to improve predictive modeling performance. In addition, this course provides strategies to preemptively spot and avoid common pitfalls that compromise the integrity of the data being used to build a predictive model. This course relies heavily on SAS programming techniques to accomplish the desired objectives.

4 Expert Classroom Live Web Classroom
Robust Regression Techniques in SAS/STAT Business Knowledge Series
This course is designed for analysts, statisticians, modelers, and other professionals who have experience and knowledge in regression analysis and who want to learn available procedures in SAS/STAT software for robust regression. The two procedures addressed in the course are the ROBUSTREG procedure and the QUANTREG procedure.

This course includes practice data.

4 Expert e-Learning
Mixed Models Analyses Using SAS
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.

4 Expert Live Web Classroom e-Learning