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Advanced Predictive Modeling Using SAS Enterprise Miner
This course covers advanced topics using SAS Enterprise Miner including how to optimize the performance of predictive models beyond the basics.
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Course Description
About Program
Format of Training
Prerequisite
Course Curriculum
Project
FAQs
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ContactCourse Description
Advanced predictive modelers who use Enterprise Miner
About Program
This course covers advanced topics using SAS Enterprise Miner including how to optimize the performance of predictive models beyond the basics. The course continues the development of predictive models that begins in the Applied Analytics Using SAS Enterprise Miner course, for example, by making use of the two-stage modeling node. In addition, some of the newest modeling nodes and latest variable selection methods are covered. Tips for working in an efficient way with SAS Enterprise Miner complete the course.
Format of Training
Live Web Classroom
Training is Led by an expert instructor live online using live web training platform, and this are not pre recorded lectures. Trainer can virtually look over your shoulder. Discuss, share, exchange ideas with students from different countries.
Taste of Live Web - is a perfect platform for indivudals who fear online training. SAS® gives an opportunity to all the registrants to have a closer look at different courses given below with a blend of Online Learning.
All the benefits of the classroom without the travel:
Classroom training options include courses offered in our regional training centers or via our Live Web classroom.
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.
Prerequisite
Before attending this course, it is recommended that you
- have completed the Applied Analytics Using SAS Enterprise Miner course
- have some experience with creating and managing SAS data sets, which you can gain from the SAS Programming 1: Essentials course
- have some experience building statistical models using SAS/STAT software
- have completed a statistics course that covers linear regression and logistic regression.
This course addresses SAS Enterprise Miner software.
Course Curriculum
SAS Enterprise Miner Prediction Fundamentals
- SAS Enterprise Miner prediction setup
- prediction basics
- constructing a decision tree predictive model
- running the regression node
- training a neural network
- comparing models with summary statistics
Advanced Methods for Unsupervised Dimension Reduction
- describe principal components analysis
- describe variable clustering
Advanced Methods for Interval Variable Selection
- explain how to use partial least squares regression in SAS Enterprise Miner
- use LAR/LASSO for variable selection
Advanced Methods for Nominal Variable Selection and Model Assessment
- implementing categorical input recoding
- creating empirical logit plots
- implementing all subsets regression
Advanced Predictive Models
- describe the basics of support vector machines
- use the HP Forest node in SAS Enterprise Miner to fit a forest model
- modeling rare events
- use the Rule Induction node in SAS Enterprise Miner
Multiple Target Prediction
- appraising model performance
- defining a generalized profit matrix
- creating generalized assessment plots
- using the Two-Stage Model node
- constructing component models
Tips and Tricks with SAS Enterprise Miner
- using the Open Source Integration node
- reusing metadata
- importing and use of external models (self-study)
Project
- appraising model performance
- defining a generalized profit matrix
- creating generalized assessment plots
- using the Two-Stage Model node
- constructing component models
FAQs
Each exam challenges candidates to apply specific knowledge they have acquired through SAS software training and/or job experience. Computer-based in format, SAS Global Certification exams comprise multiple-choice and/or short-answer questions, depending on the exam. Exams are generally scheduled through Pearson VUE but are also held at various locations around the world on a pre-scheduled basis. Candidates are allotted varying time limits to complete the exam, depending on which exam is taken. Specific exam content and passing criteria are located within each exam. To encourage your feedback, SAS Global Certification exams include a feature that allows candidates to comment on specific test questions. Your opinions are important to us and are a critical component in test development. Additionally, SAS Global Certification requires candidates to accept the terms of the SAS Institute Inc. Certification Program CandidatCancele Agreement before taking a certification exam.
Short-answer questions require you type your answer in a text box, rather than select your answer from four options. Typically, you will provide a numeric answer or a short section of SAS programming code. When entering code, case is ignored, and all variations of SAS syntax that correctly complete the program are accepted as correct.
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