Duration: 40 hrs
Fee: 25,000 INR
This program is appropriate for professionals who solve business problems by performing statistical analyses and predictive modeling using SAS/STAT software.
Successful candidates should have experience in
- analysis of variance
- linear and logistic regression
- preparing inputs for predictive models
- measuring model performance.
To discuss any of these capabilities further, please contact us.
Syllabus Content:
ANOVA
- Verify the assumptions of ANOVA
- Analyze differences between population means using the GLM and TTEST procedures
- Perform ANOVA post hoc test to evaluate treatment effect
- Detect and analyze interactions between factors
Linear Regression
- Fit a multiple linear regression model using the REG and GLM procedures
- Analyze the output of the REG procedure for multiple linear regression models
- Use the REG procedure to perform model selection
- Assess the validity of a given regression model through the use of diagnostic and residual analysis
Logistic Regression
- Perform logistic regression with the LOGISTIC procedure
- Optimize model performance through input selection
- Interpret the output of the LOGISTIC procedure
- Score new data sets using the LOGISTIC and SCORE procedures
Prepare Inputs for Predictive Model Performance
- Identify potential problems with input data
- Use the DATA step to manipulate data with loops, arrays, conditional statements and functions
- Reduce the number of categorical levels in a predictive model
- Screen variables for irrelevance using the CORR procedure
- Screen variables for non-linearity using empirical logit plots
Measure Model Performance
- Apply the principles of honest assessment to model performance measurement
- Assess classifier performance using the confusion matrix
- Model selection and validation using training and validation data
- Create and interpret graphs (ROC, lift, and gains charts) for model comparison and selection
- Establish effective decision cut-off values for scoring
To discuss any of these capabilities further, please contact us.