Acerca de este Curso

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Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio
Aprox. 12 horas para completar
Inglés (English)

Habilidades que obtendrás

Multivariate Time Series AnalysisSurrogate ModelMultivariate AnalysisPredictive Modelling
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio
Aprox. 12 horas para completar
Inglés (English)

ofrecido por

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SAS

Programa - Qué aprenderás en este curso

Semana
1

Semana 1

1 hora para completar

Course Overview (Review from Introduction to Statistics: Hypothesis Testing)

1 hora para completar
2 videos (Total 13 minutos), 5 lecturas
2 videos
Demo: Exploring Ames Housing Data10m
5 lecturas
Learner Prerequisites1m
Access SAS Software for this Course10m
Follow These Instructions to Set Up Data for This Course 30m
Completing Demos and Practices10m
Using Forums and Getting Help1m
2 horas para completar

Model Building and Effect Selection

2 horas para completar
11 videos (Total 28 minutos), 3 lecturas, 4 cuestionarios
11 videos
Scenario1m
Approaches to Selecting Models2m
The All-Possible Regressions Approach to Model Building1m
The Stepwise Selection Approach to Model Building3m
Interpreting p-Values and Parameter Estimates2m
Demo: Performing Stepwise Regression Using PROC GLMSELECT7m
Scenario37s
Information Criteria2m
Adjusted R-Square and Mallows' Cp56s
Demo: Performing Model Selection Using PROC GLMSELECT5m
3 lecturas
Activity - Optional Stepwise Selection Method Code10m
Information Criteria Penalty Components10m
All-Possible Selection
4 ejercicios de práctica
Question 4.015m
Practice - Using PROC GLMSELECT to Perform Stepwise Selection20m
Practice - Using PROC GLMSELECT to Perform Other Model Selection Techniques20m
Model Building and Effect Selection20m
Semana
2

Semana 2

3 horas para completar

Model Post-Fitting for Inference

3 horas para completar
18 videos (Total 46 minutos)
18 videos
Scenario40s
Assumptions for Regression2m
Verifying Assumptions Using Residual Plots3m
Demo: Examining Residual Plots Using PROC REG5m
Scenario47s
Identifying Influential Observations1m
Checking for Outliers with STUDENT Residuals1m
Checking for Influential Observations2m
Detecting Influential Observations with DFBETAS1m
Demo: Looking for Influential Observations Using PROC GLMSELECT and PROC REG5m
Demo: Examining the Influential Observations Using PROC PRINT6m
Handling Influential Observations1m
Scenario38s
Exploring Collinearity1m
Visualizing Collinearity2m
Demo: Calculating Collinearity Diagnostics Using PROC REG5m
Using an Effective Modeling Cycle1m
7 ejercicios de práctica
Practice: Using PROC REG to Examine Residuals20m
Question 5.015m
Practice: Using PROC REG to Generate Potential Outliers20m
Question 5.025m
Question 5.035m
Practice: Using PROC REG to Assess Collinearity20m
Model Post-Fitting for Inference30m
2 horas para completar

Model Building for Scoring and Prediction

2 horas para completar
11 videos (Total 27 minutos), 1 lectura, 4 cuestionarios
11 videos
Scenario27s
Predictive Modeling Terminology1m
Model Complexity51s
Building a Predictive Model2m
Model Assessment and Selection1m
Demo: Building a Predictive Model Using PROC GLMSELECT10m
Scenario29s
Preparing for Scoring1m
Methods of Scoring1m
Demo: Scoring Data Using PROC PLM4m
1 lectura
Partitioning a Data Set Using PROC GLMSELECT10m
4 ejercicios de práctica
Question 6.015m
Practice: Building a Predictive Model Using PROC GLMSELECT20m
Practice: Scoring Using the SCORE Statement in PROC GLMSELECT20m
Model Building for Scoring and Prediction30m
Semana
3

Semana 3

4 horas para completar

Categorical Data Analysis

4 horas para completar
25 videos (Total 73 minutos)
25 videos
Scenario59s
Associations between Categorical Variables2m
Demo: Examining the Distribution of Categorical Variables Using PROC FREQ and PROC UNIVARIATE6m
Scenario43s
The Pearson Chi-Square Test3m
Odds Ratios4m
Demo: Performing a Pearson Chi-Square Test of Association Using PROC FREQ5m
Scenario22s
The Mantel-Haenszel Chi-Square Test1m
The Spearman Correlation Statistic40s
Demo: Detecting Ordinal Associations Using PROC FREQ2m
Scenario49s
Modeling a Binary Response3m
Demo: Fitting a Binary Logistic Regression Model Using PROC LOGISTIC6m
Interpreting the Odds Ratio3m
Comparing Pairs to Assess the Fit of a Logistic Regression Model4m
Scenario50s
Specifying a Parameterization Method4m
Demo: Fitting a Multiple Logistic Regression Model with Categorical Predictors Using PROC LOGISTIC7m
Scenario35s
Interactions between Variables2m
Demo: Fitting a Multiple Logistic Regression Model with Interactions Using PROC LOGISTIC3m
Demo: Fitting a Multiple Logistic Regression Model with All Odds Ratios Using PROC LOGISTIC3m
Demo: Generating Predictions Using PROC PLM2m
18 ejercicios de práctica
Question 7.015m
Question 7.025m
Practice: Using PROC FREQ to Examine Distributions20m
Question 7.035m
Question 7.045m
Question 7.055m
Question 7.065m
Practice: Using PROC FREQ to Perform Tests and Measures of Association20m
Question 7.075m
Question 7.085m
Practice: Using PROC LOGISTIC to Perform a Binary Logistic Regression Analysis20m
Question 7.095m
Question 7.105m
Practice: Using PROC LOGISTIC to Perform a Multiple Logistic Regression Analysis with Categorical Variables20m
Question 7.115m
Question 7.125m
Practice: Using PROC LOGISTIC to Perform Backward Elimination and PROC PLM to Generate Predictions20m
Categorical Data Analysis30m

Acerca de Certificado profesional de Analista de negocios de estadísticas de SAS

Analista de negocios de estadísticas de SAS

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