CSSCR Courses



To sign up for our free courses, scroll to the bottom of this page!

Winter 2017

Introduction to R with R Studio

Description:

This class will teach you how to get started with R using the free integrated development environment called Rstudio. The course will cover the basic organization of R and Rstudio, where to find good help references, and how to begin a basic analysis. This class is ideal for users who have little or no experience with R.


Instructor: Stephanie Lee, CSSCR Consultant
Date: Friday, 6 Jan 2017
Time: 9:30am - 10:20am Place: Savery 121
Register here.

Introduction to R with R Studio

Description:

This class will teach you how to get started with R using the free integrated development environment called Rstudio. The course will cover the basic organization of R and Rstudio, where to find good help references, and how to begin a basic analysis. This class is ideal for users who have little or no experience with R.


Instructor: Gabby Gorsky, CSSCR Consultant
Date: Friday, 6 Jan 2017
Time: 3:30pm - 4:20pm Place: Savery 121
Register here.

Introduction to R with R Studio

Description:

This class will teach you how to get started with R using the free integrated development environment called Rstudio. The course will cover the basic organization of R and Rstudio, where to find good help references, and how to begin a basic analysis. This class is ideal for users who have little or no experience with R.


Instructor: Yunkang Yang, CSSCR Consultant
Date: Monday, 9 Jan 2017
Time: 10:30am - 11:20am Place: Savery 121
Register here.

Introduction to Stata

Description:

Learn the basics of Stata so that you can understand do/log files, reading help files, and how to write code in order to perform data cleaning and statistical analysis. No experience in statistical programming necessary.


Instructor: Laine Rutledge, CSSCR Consultant
Date: Tuesday, 10 Jan 2017
Time: 1:30pm - 2:20pm
Place: Savery 117
Register here.

Introduction to R with R Studio

Description:

This class will teach you how to get started with R using the free integrated development environment called Rstudio. The course will cover the basic organization of R and Rstudio, where to find good help references, and how to begin a basic analysis. This class is ideal for users who have little or no experience with R.


Instructor: Nathan Abe, CSSCR Consultant
Date: Tuesday, 10 Jan 2017
Time: 5:00pm - 6:00pm Place: Savery 121
Register here.

Introduction to SPSS

Description:

This class introduces SPSS basic structure and layout. We will go over how to import, manage, and record data as well as do some descriptive statistics and simple analyses like t-test, correlation, and regression.


Instructor: Tina Tian, CSSCR Staff
Date: Wednesday, Jan 11, 2017
Time: 10:30am - 11:20am Place: Savery 121
Register here.

Introduction to R Base Graphics

Description:

This class will introduce students to ways of producing effective graphs in R. Topics covered will include basic plotting functions (histograms, scatter plots, etc.), production of multi-panel graphs, and various means for exporting graphs for use outside of R.


Instructor: Will Brown, CSSCR Consultant
Date: Wednesday, 11 Jan 2017
Time: 3:30pm - 4:20pm Place: Savery 121
Register here.

R Graphics Using ggplot2

Description:

This class is an introduction to the popular graphics package ggplot2. We will discuss the structure of the ggplot2, including the basic elements of the underlying grammar and how plots can be built-up in a layered fashion. We will then use ggplot2 to produce number of different plots, such as line graphs, histograms, and boxplots. Attendees will be assumed to have basic familiarity with R.


Instructor: Colin Beam, CSSCR Consultant
Date: Thursday, 12 Jan 2017
Time: 4:00pm - 5:00pm Place: Savery 121
Register here.

Introduction to SAS

Description:

This introductory class will cover basic features and some data cleaning and recoding of variables in SAS. The topics include: an overview of the SAS system; how to read/enter data, modify, explore and manage data; and some basic data recoding and variable creation.


Instructor: Nikki Gurley, CSSCR Consultant
Date: Friday, Jan 13, 2017
Time: 12:30pm - 1:20pm Place: Savery 121
Register here.

Click here to register for courses.

Note: If you have trouble with this link, log out of your non-UW Google Apps Google account
OR
right-click the link and open it in a new private/incognito window.