Predictive Modeling Using SAS(R) High-Performance Analytics Procedures

  • Tuition USD $2,400
  • Reviews star_rate star_rate star_rate star_rate star_half 1066 Ratings
  • Course Code PMHP41
  • Duration 3 days
  • Available Formats Classroom

SAS high-performance procedures provide predictive modeling tools that have been specially developed to take advantage of parallel processing in both multithreaded single-machine mode and distributed multiple-machine mode to solve big data problems. This course gives overview of all SAS High-Performance solutions and specifically introduces the functionality in the SAS High-Performance Statistics and Data Mining procedures for predictive modeling. The course shows examples of applying advanced statistics to huge volumes of data and quickly retrain many predictive modes using all available processing power in a single-machine mode and in distributed mode.

Skills Gained

  • set session options to specify the high-performance architecture for a SAS session
  • explain how High-Performance procedures are designed and intended to be used
  • identify similarities and differences between traditional SAS procedures and their SAS High-Performance Analytics counterparts
  • use Base SAS High-Performance utility procedures
  • perform model selection, dimension reduction, and identification of important variables
  • use SAS High-Performance procedures to build and assess predictive models for a binary target as well as an interval target
  • perform model selection for generalized linear models
  • fit zero-inflated models with variable selection.

Who Can Benefit

  • Experienced statisticians and predictive modelers who need to learn the functionality and use of SAS High-Performance Analytics procedures to build and assess predictive models

Prerequisites

  • Before attending this course, you should have
  • experience in statistical analysis and predictive modeling using SAS/STAT
  • experience using SAS programming.

Course Details

Introduction to SAS High-Performance Analytics

  • introduction to machine learning
  • overview of SAS High-Performance Analytics procedures
  • shared concepts and topics (self-study)

Exploratory Analysis and Descriptive Statistics

  • exploratory analysis with the HPCORR, HPDMDB, and HPSUMMARY procedures
  • recoding variables with the HPDS2 procedure

Data Preparation and Transformation for Supervised Learning

  • partitioning data with the HPSAMPLE procedure
  • imputing missing values with the HPIMPUTE procedure
  • creating new inputs with the HPBIN procedure
  • selecting variables using the HPREDUCE procedure
  • supervised interval variable selection using the HPPLS procedure (self-study)

Supervised Models with Binary Target

  • logistic regression with the HPLOGISTIC procedure
  • random forests with the HPFOREST and HP4SCORE procedures
  • neural networks with the HPNEURAL procedure

Assessing Binary Predictive Models

  • model scoring and assessment procedure

Supervised Models with Interval Target

  • fitting a continuous response with the HPREG procedure
  • fitting generalized lienar models with the HPGENSELECT procedure

Unsupervised Learning Methods

  • unsupervised dimension reduction using the HPPRINCOMP procedure
  • clustering using the HPCLUS procedure

Appendices

  • econometric modeling (self-study)
  • nonlinear modeling with SAS High-Performance Analytics (self-study)

When does class start/end?

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

Does the course schedule include a Lunchbreak?

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.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals, and private on sites. View our group training page for more information.

The course material and instructor were very good. easy to follow, lab was setup nicely and was able to complete most of the lab material.
The Koretex App is absolute garbage and very cumbersome to use on a tablet/ipad. A PDF file would be 100 times better than that atrocious app.
As a recommendation this class should be 5 days instead of 4 as some chapters had to be rushed.

Very good overview and Intro to AWS. Just the right amount of information.

Learnt new things on AWS DEVOPS side from Tutor Ryan. Happy that he was able to assist on our questions.

AZ-300 course experience was good . Eylem Uysal was very good, the best instructor and i had really good experience attending course and classes with Eylem.

The instructor was proficient in his subject and overall, it was presented well

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