Beginning in 2013, all ISCC workshops are FREE! No registration is required and seating is on a first come, first served basis.
Fri, February 15, 2:30 - 4:30, Wells Library 503 (Computer Lab)
Instructor: Thomas Jackson, Senior Consultant, ISCC
This workshop will introduce the fundamentals of the R programming language. Participants will become familiar with the R user environment, basic data structures, and syntax. Methods for creating and importing data files will be covered, along with basic descriptive statitsics.
Tues, February 26, 2:30 - 4, Ballentine 006
Instructor: Stephanie Dickinson, Senior Consultant, ISCC
This workshop will give an overview of how to identify what types of data analysis tools to use for a project. We will walk through a map of the most common analysis tools (ANOVA, Regression, Chi-square, etc), and how they should be selected based on the type of data and the types of research questions you have.
Fri, March 8, 2 - 4, Woodburn 120
Instructor: William Wyatt, Visiting Assistant Professor, Department of Statistics
This workshop will give a guided tour through using linear models in the R programming language. We will discuss why and how to use linear models along with how to interpret output from R. Topics covered will include linear regression, ANOVA, and logistic regression.
Tuesday, March 26, 2:30 - 4, Cedar Hall 112
Instructor: Stephanie Dickinson, Senior Consultant, ISCC
This workshop will be an adventure through the path of the data analysis process: from the open fields of formulating your research questions, through the forest of selecting the appropriate analysis tools, wading through the necessary model assumptions and diagnostic tools, investigating relevant plots and tables, and crossing the final bridge for interpretting results and reporting conclusions.
For SAS and SPSS training, see UITS IT Training >>
For WIM (Workshop in Methods), see WIM workshops >>