Introduction to the SAS statistical computing environment
March 5 @ 11:00 am - 4:00 pm$225
A 5-hour workshop taught by Mariola Moeyaert, Ph.D.Register
The SAS Institute is the world’s largest privately held software company software and is widely used in business, but also in the social, health, physical, and computational sciences. People use SAS because it is powerful, flexible, and makes routine data analysis easy. SAS software has proved itself as the market leader in providing a new generation of business intelligence software and services that creates intelligence. The SAS Institute is the only software company that completely integrates leading data warehousing, analytics and traditional business intelligence applications, to create intelligence from massive amounts of data. 91 of the top 100 companies on the 2019 Fortune 500® list use SAS®.
This workshop is designed to introduce the SAS statistical environment to those who are looking to use SAS for applied statistical tasks. Topics include data coding, management and manipulation, as well as how to perform basic descriptive, bivariate and multivariate analyses.
This workshop is hands-on. The instructor will share SAS code with the participants. The participants are encouraged to copy the code in SAS or write code along with the instructor, and participate in the carefully designed exercises that will be interspersed throughout the day.
This remote workshop is held through WebEx, a video conferencing application. Participants need to install and download SAS prior to the start of the workshop.
By the end of this workshop, participants should be able to import data, manipulate data, and run statistical models. The workshop will facilitate the use of SAS, to a level that enables participants to employ the software in their own work. Participants will understand the fundamentals of how SAS “thinks” so that they can begin to use SAS independently.
Pricing and schedule
Time: Friday, March 5, 11AM to 4PM (EST)
We offer $50 discounts for graduate students and $25 discounts for multiple workshop enrollments. Find out about our discounts here.
The main workshop material is scheduled for six hours. Time permitting, Dr. Moeyaert will answer questions about participants’ specific research projects. Participants can ask questions via chat, microphone, or telephone. In order to allow sufficient time for questions, the number of workshop participants is limited to 30.
Who should attend?
This workshop is designed for anyone to learn SAS. No prior knowledge of SAS is assumed.
- Introduction to the SAS Statistical environment
Programs (data step – proc step)
Program structure – Formatting
Reading in data
- Exploring Data in SAS –Data manipulation
Matching – Merging data
Bivariate techniques and bivariate plots
About the instructor
Dr. Mariola Moeyaert is an Associate Professor Statistics within the division of Educational Psychology and Methodology at UAlbany. She received her PhD in Educational Statistics from the Katholieke Universiteit Leuven (KU Leuven) in Belgium and worked as a Postdoctoral fellow at the Center of Advanced Study in Education at the City University of New York. Her major research interests and publications are in the field of multilevel analysis, meta-analysis and interrupted time series analysis. She is also interested in Bayesian statistics, bootstrapping, structural equation modeling, longitudinal data analysis, and international comparative research. She (co)authored about 47 international publications, in such journals as Psychological Methods, Multivariate Behavior Research, Journal of School Psychology, Behavior Research Methods, School Psychology Quarterly, etc., reporting about developments in research methodology (including several computing intensive Monte Carlo simulation studies) and about applications of statistical models on educational/medical data. Currently, she is involved as PI and Co-PI in research projects funded by the Institute of Education Sciences about methodological advancements in the field of multilevel meta-analysis. You can find more information about Dr. Mariola Moeyaert by following these two links (1) https://www.