Software For Data Science Workshop: SAS

February 4 - 5, 2017, The Fields Institute

As acquisition of data continues to accelerate, businesses in every sector are requiring that their employees are equipped to analyze and understand all of the information available to them. As part of continuing mission of Fields to promote mathematics education, Fields is happy to present an ongoing series of workshops aimed at providing students access to, and training for, some of the skills that employers want most. By participating in these events, students can add valuable skills to their CV and learn some of the most cutting edge techniques used in industry. The events are designed specifically for both undergraduate and graduate students, but also open to faculty and postdocs. All workshops are $10 each for students and faculty and registration is required.

Workshop Series Schedule:

SAS: February 4 - 5, 2017
Maple: February 23 - 24, 2017
Julia: March 20, 22, 2017
Biosymetrics Augusta: April 22 - 23 , 2017

Participants who attend all workshops will receive a Certificate Of Completion from the Fields Institute.

Overview

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

Instructor:

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 finished his PhD at the University of Toronto in 2016 where he also taught undergraduate courses in calculus and linear algebra.

Schedule

Saturday, February 4th, 2017
08:45 to 09:00	Check In
09:00 to 10:30	Introduction to SAS
10:30 to 10:45	Coffee Break
10:45 to 12:00	File Types and Accessing Data
12:00 to 13:00	Lunch Break
13:00 to 15:00	Manipulating Data in SAS
15:00 to 15:30	Coffee Break
15:30 to 17:00	Statistics Overview

Sunday, February 5th, 2017
09:00 to 10:30	Fundamentals of Predictive Modeling
10:30 to 10:45	Coffee Break
10:45 to 12:00	Making Predictive Models Using SAS
12:00 to 13:00	Lunch Break
13:00 to 15:00	Making Predictive Models Using SAS
15:00 to 15:30	Coffee Break
15:30 to 17:00	Evaluating Predictive Models