The future of IBM Maximo: Work Centers and Inspections Can Transform Your Business

closeClose

Predictive Modeling Using SAS(R) In-Memory Statistics

  • Tuition USD $1,300 GSA  $1,178.84
  • Reviews star_rate star_rate star_rate star_rate star_half 519 Ratings
  • Course Code IMPM25
  • Duration 2 days
  • Available Formats Classroom

This course focuses on the statistical and machine learning methods for predictive modeling available in the IMSTAT procedure. Topics include building candidate predictive models and assessing predictive models on training and holdout data for honest assessment using the IMSTAT procedure. You learn about methods such as decision trees and random forests using the DECISIONTREE and RANDOMWOODS statements. Modeling a binary response using the LOGISTIC and NEURAL statements is also covered, as is analyzing an interval target with generalized linear models using the GLM and GENMODEL statements. Generating and using Base SAS score code is demonstrated as well. Features of ODS Statistical Graphics are described for visualizing IMSTAT results.

Skills Gained

  • distribute SAS tables in the Hadoop Distributed File System (HDFS)
  • load Hadoop tables into LASR memory
  • process in-memory tables with PROC LASR and PROC IMSTAT
  • build predictive models using the PROC IMSTAT statements DECISIONTREE, RANDOMWOODS, LOGISTIC, NEURAL, GLM, and GENMODEL
  • produce assessment statistics using the PROC IMSTAT ASSESS statement
  • produce score code
  • score new data sets
  • generate visual summaries of data using ODS statistical graphics.

Who Can Benefit

  • Experienced predictive modelers who need to learn the syntax and functionality of the analytical statements in the IMSTAT procedure

Prerequisites

  • Before attending this course, you should have completed Getting Started with In-Memory Statistics For Hadoop Other prerequisites are knowledge of and experience using the analytics methods such as binary logistic regression and decision trees. Understanding of predictive modeling concepts such as honest assessment on holdout data is also required.

Course Details

Overview of SAS In-Memory Statistics

Introduction to the SAS LASR Analytic Server and the IMSTAT Procedure

Decision Trees in PROC IMSTAT

Logistic Regression in PROC IMSTAT

Neural Networks in PROC IMSTAT

Modeling Interval Targets in PROC IMSTAT

Regression Modeling with SAS Software: Migrating from SAS Foundation Software to SAS In-Memory Statistics

How do I enroll?

A comprehensive listing of ExitCertified courses can be found here. You can register directly for the required course/location when you select "register". If you have any questions or prefer to speak with an ExitCertified education consultant directly, please submit your query here. A representative will contact you shortly.

How do I pay for a class?

You can pay at the time of registration using credit card (Mastercard/Visa/American Express) cheque or PO.

What if I have training credits?

ExitCertified honors all savings programs from the partners we work with. ExitCertified also offers training credits across multiple partners through our FLEX Account.

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Lunchtime?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

Good course that covers all aspects of DB2. Gives very good starting point to enable anyone to work efficiently within DB2 environment.

Very good class. Ken (the instructor) is very knowledgeable and has great industry experience as well

course material well organized; Some material and labs out of date. instructor was outstanding and able to work around out of date materials.

Labs were well organized, instructions were clear.

Instructor was knowledgeable and helpful.

Simply great training provider that I can go for updating/acquiring my skill sets.

0 options available

There are currently no scheduled dates for this course. If you are interested in this course, request a course date with the links above. We can also contact you when the course is scheduled in your area.

Contact Us 1-800-803-3948
Contact Us Live Chat
FAQ Get immediate answers to our most frequently asked qestions. View FAQs arrow_forward