About this Course

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Intermediate Level
Approx. 12 hours to complete
English

Skills you will gain

Multivariate Time Series AnalysisSurrogate ModelMultivariate AnalysisPredictive Modelling
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 12 hours to complete
English

Offered by

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SAS

Syllabus - What you will learn from this course

Week
1

Week 1

1 hour to complete

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

1 hour to complete
2 videos (Total 13 min), 5 readings
2 videos
Demo: Exploring Ames Housing Data10m
5 readings
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 hours to complete

Model Building and Effect Selection

2 hours to complete
11 videos (Total 28 min), 3 readings, 4 quizzes
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 readings
Activity - Optional Stepwise Selection Method Code10m
Information Criteria Penalty Components10m
All-Possible Selection
4 practice exercises
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
Week
2

Week 2

3 hours to complete

Model Post-Fitting for Inference

3 hours to complete
18 videos (Total 46 min)
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 practice exercises
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 hours to complete

Model Building for Scoring and Prediction

2 hours to complete
11 videos (Total 27 min), 1 reading, 4 quizzes
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 reading
Partitioning a Data Set Using PROC GLMSELECT10m
4 practice exercises
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
Week
3

Week 3

4 hours to complete

Categorical Data Analysis

4 hours to complete
25 videos (Total 73 min)
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 practice exercises
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

About the SAS Statistical Business Analyst Professional Certificate

SAS Statistical Business Analyst

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