SAS Fall Workshop Series: "Intro to SAS"

Event Time: 
9:00am - 1:00pm
Event Location: 
College of Pharmacy, 833 S. Wood Street, Room B8
Sponsoring Department: 
UIC Academic Computing and Communications Center (ACCC)
Contact Email: 
stats@uic.edu

Requirements to attend SAS classes:

Registration

On the day registration opens for one or more SAS classes you wish to attend, use your UIC email account (i.e., joesmith@uic.edu) to send your registration-request to ACCC’s SAS-instructor at: stats@uic.edu.

In your request(s), please state the particular SAS class(es) for which you wish to register (i.e., “I am requesting that you register me for the Intro-to-SAS class held on Tuesday, September 19,” – or - “I am requesting that you register me for the Cleaning Dirty Data class held on Tuesday, October 17, and for the One-Way ANOVA class held on Tuesday, October 24.”) Remember, you cannot register for an SAS class prior to the date and time when registration opens for that particular class. So, for example, if someone submits a request to attend Cleaning Dirty Data class before the start of open-registration for that class (i.e., 9:00am on September 29), then their request to attend Cleaning Dirty Data class will NOT be processed. This rule is inflexible. 

Equipment

These conference rooms are more comfortable than computer-labs, but they are not equipped with desktop computers. Attendees are required to attend class with SAS installed on their laptops. So if you do not have SAS installed on your laptop computer, and if ACCC’s SAS instructor approves your request to register for any of the SAS classes, you must obtain and install SAS on your computer as soon as possible. Your best option is to visit the Webstore (http://webstore.illinois.edu) and order DVDs of the *full* version of SAS 9.4 for Teaching and Research. DVD delivery can take several days, and after you receive the DVDs, you will need some additional time to install SAS - it is a big piece of software - and then test that SAS is working correctly on your computer. If SAS does not install correctly, Webstore staff can provide helpful advice (webstore@illinois.edu).

Knowledge-Prerequisites

First, each SAS class is a compressed module of real-world training and hands-on exercises, designed to teach attendees how to write the SAS code needed to perform procedures related to that particular SAS class. Additionally, each SAS class provides a foundation of knowledge designed to help attendees comprehend the lessons taught in subsequent SAS classes. Without knowing how to write basic SAS syntax such as the lessons taught in Intro-to-SAS, it would not be possible for attendees to comprehend the lessons taught in any of the post-Intro SAS classes. Without knowing how to write code to perform the procedures taught in the Linear Multiple Regression and One-Way ANOVA classes, it would be very difficult for attendees to comprehend the coding lessons taught in the Logistic Binary Regression or Repeated-Measures ANOVA classes. In other words, unless you have obtained equivalent SAS programming skills though other educational or practical experience, you might find it difficult to comprehend advanced SAS programming without first learning intermediate-level SAS programming (i.e., it would be like taking Chemistry 201 without first taking Chemistry 101).

Second, at the start of each post-Intro class, the SAS instructor will briefly describe the statistical test(s) to be performed in that class, in order to help refresh the memories of attendees who have not utilized their statistical training in several years. However, refreshers cannot help people who have *never* received formal education in the mathematics and underlying mathematical assumptions that govern these statistical tests. For example, it is only appropriate to attend a class in how to write SAS code to run Repeated-Measures ANOVA if attendees already understand the mathematics and mathematical assumptions that underlie Repeated-Measures ANOVA testing. In past years, within 15-40 minutes after the start of a post-Intro SAS class, there have been a few attendees who have stood up and walked out of the classroom. But before those attendees departed, they admitted that they had made the mistake of believing that they could benefit by learning the SAS programming to perform statistical tests that they did not understand. To summarize, if you have not completed any statistical coursework for Linear Regression, then you should not register for the SAS/Linear Multiple Regression class. If you are uncertain as to whether you know enough about statistics to attend a post-Intro SAS class, you may submit such questions/concerns to ACCC’s SAS instructor at: stats@uic.edu.

For more information see the ACCC statistical workshops page.