About This Workshop:
Objectives:
This course covers predictive modeling using SAS software with emphasis on the LOGISTIC procedure. This course also discusses selecting variables and interactions, recoding categorical variables based on the smooth weight of evidence, assessing models, treating missing values and using efficiency techniques for massive data sets. The course assumes no previous knowledge of SAS and is for users who want to learn how to write SAS programs. It can be used as the entry point to learning SAS programming and will also involve learning advanced data manipulation techniques using SAS DATA and procedure steps to access, transform, and summarize SAS data sets.
Participation Requirements:
The workshop will be hands-on and participants should bring their laptops and have SAS University Edition installed. This is a free download and is available at https://www.sas.com/en_ca/software/university-edition.html
Workshop Schedule:
Day 1: SAS Fundamentals
| 9am | Introduction to SAS, File Types and Accessing Data |
| 10:30am | Coffee Break |
| 10:45am | Manipulating Data in SAS |
| 12pm | Lunch |
| 1pm | Raw Data Files and Advanced Techniques |
| 3pm | Coffee Break |
| 3:30pm | Generating Reports |
| 5pm | Day 1 Concludes |
Day 2: Predictive Modeling With SAS
| 9am | Statistics Overview |
| 10:30am | Coffee Break |
| 10:45am | Fundamentals of Predictive Modeling |
| 12pm | Lunch |
| 1pm | Making Predivtice Models Using SAS |
| 3pm | Coffee Break |
| 3:30pm | Evaluating Predictive Models |
| 5pm | Course Concludes |
About The Presenter:
Dr. Tyler Wilson
Tyler Wilson is the Industry Liaison Officer at the Fields Institute. He has completed a number of SAS courses and has a background in computer programming, computational mathematics and analysis. He finsihed his PhD at the University of Toronto in 2016 where he also taught undergraduate courses in calculus and linear algebra.
Registration Information:
Registration is now closed. For those that have registered you will receive occasional emails about important updates about the event, so please register using an active email address. You can also keep up to date with the program by checking this webpage.
To cancel your registration, please contact
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