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SAS Visual Statistics: Interactive Model Building
This course introduces SAS Visual Statistics for building predictive models in an interactive, exploratory way.
Power up your staff’s skills and boost your business
About Program
Format of Training
Training Features
Course Curriculum
Course Fees
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This course introduces SAS Visual Statistics for building predictive models in an interactive, exploratory way. Exploratory model fitting is a critical step in modeling big data. This course is appropriate for users of SAS Visual Analytics 7.2, 7.3, and 7.4.
This course can help prepare you for the following certification exam(s): SAS Advanced Predictive Modeling, SAS Interactive Model Building and Exploration Using SAS Visual Statistics 7.4.
Format of Training
Taught by certified instructors at high-tech facilities across the country
- A SAS expert at your side.
- Focused learning away from the office
- Networking opportunities
- State-of-the-art facilities
- Electronic course notes downloadable to your device and permission to print
- Business Knowledge Series: in-depth courses on the latest business topics
- We offer Connected Classes! Watch for courses in Cary, New York, Arlington, Dallas and San Francisco that connect remote students via our Live Web classroom.
All the benefits of the classroom without the travel
- Join the classroom right from your desktop
- Led by an expert instructor who can virtually look over your shoulder
- Ask questions and get answers in real-time
- Access the latest software via a virtual lab
- Receive 20 business days' access to a recording of your course
- Discuss, share, exchange ideas with participants from different countries
Training Features
- perform statistical analysis of data of any size
- create a project
- determine useful preferences and settings
- create segments, or clusters, of input variables
- perform regression and logistic regression modeling
- perform decision tree modeling
- perform stratified model fitting
- compare models
- generate score code.
Course Curriculum
Cluster Segmentation
- segmentation concepts
- cluster analysis
- data management
Models with Continuous Targets
- managing projects and models
- linear regression models
- generalized linear models
Models with Categorical Targets
- logistic regression
- decision trees
Model Comparison and Assessment
- comparing models
- scoring
Course Fees
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