Applied Analytics Using SAS Enterprise Miner

This course is appropriate for SAS Enterprise Miner from release 5.3 up to 14.2.

Duration 3 Days
Certificate SAS Global
Language English

Fees 21600 + taxes


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Course Description

Data analysts, qualitative experts, and others who want an introduction to SAS Enterprise Miner

About Program

This course is appropriate for SAS Enterprise Miner from release 5.3 up to 14.2. The course covers the skills that are required to assemble analysis flow diagrams using the rich tool set of SAS Enterprise Miner for both pattern discovery (segmentation, association, and sequence analyses) and predictive modeling (decision tree, regression, and neural network models).

This course can help prepare you for the following certification exam(s): Predictive Modeling Using SAS Enterprise Miner.

Format of Training

All the benefits of the classroom without the travel:

Led by an expert instructor who can virtually look over your shoulder. Discuss, share, exchange ideas with students from different countries

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.

Train when and where you want

  • Eliminate travel costs and time away
  • Enjoy award-winning e-Courses

SAS e-Learning courses do not include SAS software. You must have SAS software installed to complete the practice exercises.

Prerequisite

Before attending this course, you should be acquainted with Microsoft Windows and Windows software. In addition, you should have at least an introductory-level familiarity with basic statistics and regression modeling. Previous SAS software experience is helpful but not required.

This course addresses SAS Enterprise Miner software.

Training Features

  • define a SAS Enterprise Miner project and explore data graphically
  • modify data for better analysis results
  • build and understand predictive models such as decision trees and regression models
  • compare and explain complex models
  • generate and use score code
  • apply association and sequence discovery to transaction data.

Course Curriculum

Introduction

  • introduction to SAS Enterprise Miner

Accessing and Assaying Prepared Data

  • creating a SAS Enterprise Miner project, library, and diagram
  • defining a data source
  • exploring a data source

Introduction to Predictive Modeling: Predictive Modeling Fundamentals and Decision Trees

  • introduction
  • cultivating decision trees
  • optimizing the complexity of decision trees
  • understanding additional diagnostic tools (self-study)
  • autonomous tree growth options (self-study)

Introduction to Predictive Modeling: Regressions

  • selecting regression inputs
  • optimizing regression complexity
  • interpreting regression models
  • transforming inputs
  • categorical inputs
  • polynomial regressions (self-study)

Introduction to Predictive Modeling: Neural Networks and Other Modeling Tools

  • input selection
  • stopped training
  • other modeling tools (self-study)

Model Assessment

  • model fit statistics
  • statistical graphics
  • adjusting for separate sampling
  • profit matrices

Model Implementation

  • internally scored data sets
  • score code modules

Introduction to Pattern Discovery

  • cluster analysis
  • market basket analysis (self-study)

Special Topics

  • ensemble models
  • variable selection
  • categorical input consolidation
  • surrogate models
  • SAS Rapid Predictive Modeler

Project

  • creating a SAS Enterprise Miner project, library, and diagram
  • defining a data source
  • exploring a data source

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.

Course Fees

Live Web

  

  

51000

+ Applicable Taxes
Enroll Now

e-learning

  

  

21600

+ Applicable Taxes
Enroll Now