Hello SSW!
We donate 10 hours/week of lab consultant time to CSSCR and they reciprocate by giving us training and lab access. They also offer drop-in consulting to students working with data (hours at bottom of email.)
See below for the latest offerings:
Welcome to Spring at the University of Washington. For this quarter, we continue to offer a series of early-quarter short courses focusing on R and Stata statistical languages. The target audience is students needing R or Stata introductions in preparation for quantitative credit courses, but we welcome anyone in the UW community to sign up for these free courses. If you have an idea for a short course we could offer that would help students prepare for their regular courses, please let us know.
In a few weeks, we will announce a second batch of short courses that will be taught later in the quarter.
–Darryl Holman
Description:
This class will teach you how to get started with R using the R Commander graphical user interface. By providing a point-and-click interface, R Commander allows you to focus on statistical methods rather than generation of R commands. The course will cover the basic organization of R and R Commander and how to conduct basic analyses. This class is ideal for users with little or no R experience.
Instructor: Shin Lee
Date: Monday, April 4, 2016
Time: 11:00am to 11:50am Place: Savery 121
Register
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:Carolina Johnson
Date: Tuesday, April 5, 2016
Time: 11:30am to 12:20am Place: Savery 121
Register
Description:
This class will teach you how to get started with R using the R Commander graphical user interface. By providing a point-and-click interface, R Commander allows you to focus on statistical methods rather than generation of R commands. The course will cover the basic organization of R and R Commander and how to conduct basic analyses. This class is ideal for users with little or no R experience.
Instructor: Gabby Gorsky
Date: Tuesday, April 5, 2016
Time: 2:30pm to 3:20pm Place: Savery 121
Register
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 management and statistical analysis through various examples. No experience in statistical programming necessary but a basic understand of statistics would be helpful.
Instructor: Myong Hwan Kim
Date: Wednesday, April 6, 2016
Time: 11:30am to 12:20pm Place: Savery 121
Register
Description:
This course will cover some of R’s useful tools for data management and exploration. Most of class will be devoted to learning Hadley Wickham’s excellent tidyr and dplyr packages. Attendees will be assumed to have basic familiarity with R. Yeehaw!
Instructor: Colin Beam
Date: Wednesday April 6, 2016
Time: 3:00pm to 3:50pm Place: Savery 121
Register
The Qualitative Multi-Method Research Initiative (QUAL) is offering a series of qualitative workshops. These workshops are open to UW graduate students interested in deepening their qualitative multi-method data analysis skills.
All workshops are on Fridays from 3:30pm to 5:00pm in Savery 117. The instructor is Valentina Petrova
The Center for Social Science Computation and Research (CSSCR) is an interdepartmental computer center in the College of Arts and Sciences at the University of Washington. CSSCR provides facilities and consulting support for computing activity related to teaching and research at the University.
Spring Quarter
Consulting and Computers: Monday to Thursday: 8:00am to 9:00pm, Friday: 8:00am to 5:00pm
Office: Monday to Friday: 8:00am to 12:00pm, 1:00pm to 5:00pm
We are closed weekends and for University holidays
Center for Social Science Computation & Research
University of Washington
110 Savery Hall
Box 353345
Seattle, Washington 98195 U.S.A.
(206) 543-8110
csscr@u.washington.edu
http://csscr.washington.edu
If you would like to request academic accommodations due to a disability, please contact Disabled Student Services, 448 Schmitz, 543-8924 (V/TDD). If you have a letter from Disabled Student Services indicating you have a disability that requires academic accommodations, please present the letter to Darryl Holman at CSSCR so we may discuss the accommodations you might need for class.
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