Data Analysis in SAS

The SAS System is an integrated system of data management, analysis and presentation.  This course, designed for people with little or no knowledge of the package, provides an introduction to the SAS System using an applied (hands on) approach.  More than 50% of the time will be spent at the terminal.  The course will provide participants with sufficient knowledge of the Base SAS module of the SAS system so that they can create and run their own SAS programs.  They will learn how to create a SAS data set, to use SAS for basic data management, data transformation, simple statistical analysis, summarising data with tables and graphs, and to generate simple reports.  Most of these topics will be covered within the context of analysing questionnaire data.
 
The emphasis will be on using SAS, rather than learning statistical concepts.  However, time may be taken to discuss these when necessary.  While the course concentrates on Base SAS, some exposure to SAS/ASSIST, SAS/STAT, SAS/GRAPH, SAS/INSIGHT and perhaps other SAS modules will be given.
 
Topics covered include overview of the SAS system; loading and running SAS; basic editing; inputting data; from questionnaire to SAS; permanent SAS data sets; sorting and printing; using SAS formats; documenting programs with comments, titles, footnotes, and variable labels; creating and storing your own formats using PROC FORMAT; summarising data using MEANS, UNIVARIATE, FREQ, PLOT and CHART procedures; SAS ASSIST; programming in SAS, working with dates, merging and splitting SAS data sets.  Importing and exporting from/to Excel, text, SPSS, or other formats.  More detailed tables with PROC TABULATE, and regression with PROC REG may be covered with the group, or individually, if time permits.
 

 
Level 1 - runs over 5 days
Instructor: 
Professor Stephen R. Clarke is located in the School of Mathematical Sciences at Swinburne University, where he teaches in the Graduate courses in Applied Statistics. As academic leader of Swinburne Sports Statistics (www.swin.edu.au/sport), he has published over 100 papers in conference proceedings and in international journals, mainly on statistical and mathematical modelling in sport and teaching issues. He gains regular exposure in the Australian media, where his computer football predictions have appeared for over 20 years. Steve uses SAS for his research and consulting in the sports statistics and gaming industry, and has taught short courses in SAS since 1986, and at ACSPRI since 1990. Home page http://www.swin.edu.au/maths/web/aboutus/steve.htm
Course dates: Monday 10 January 2011 - Friday 14 January 2011
Course status: Course completed (no new applicants)
Week: 
Week 1
Recommended Texts: 

Course notes will be issued. However students may find it useful to bring a copy of any SAS manuals they may have to the course.
 

Course fees
Member: 
$1,550
Non Member: 
$2,800
Full time student Member: 
$1,550
Notes: 

Course notes will be issued.