The Center for Social Science Computation and Research

Workshops Descriptions

CSSCR Short Workshops for Winter Quarter 2024

Listed chronologically by date of workshop

Introduction to R using R Studio
Description: This workshop will teach you how to get started with R using the free integrated development environment called Rstudio. The workshop 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: Dadmehr Digbar, CSSCR Consultant
  • Date: Monday,  January 22, 2024
  • Time: 11:30am – 12:30pm
  • Location: Savery 117 (Big Lab)
  • Register here.

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Introduction to Text Analysis using R
Description:  This workshop will introduce the basics of text analysis in R using the tools from the “tidytext” package. Participants will learn how to manage and clean text data, perform sentiment analysis, and calculate descriptive statistics on a body of text.   Basic level of using R/RStudio is assumed.

  • Instructor:  Steve Karceski, CSSCR Consultant
  • Date:  Monday, January 22, 2024
  • Time: 3:30pm – 4:30pm
  • Location: Savery 117 (Big Lab)
  • Register here.

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Introduction to Git and GitHub
Description: This workshop will teach you how to get started using Git and GitHub. The workshop will cover a) the motivation for using Git/GitHub, b) the concepts of “remote, local, push and pull”, and c) using R Studio for cloning and pushing within the GitHub framework. No GitHub experience required; some familiarity with R is helpful.

  • Instructor: Anwesha Pan, CSSCR Consultant
  • Date: Tuesday,  January 23, 2024
  • Time: 3:30pm – 4:30pm
  • Location: Savery 117 (Big Lab)
  • Register here.

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Basic Graphics and Data Visualization in R
Description:   This CSSCR workshop introduces students to ways of producing effect graphs and visualization graphs in R.  Topics covered will include basic plotting functions (e.g. histograms, scatter plots), production of multi-panel graphs, and various means of exporting graphs to other presentation packages.  A basic user level of R / RStudio is assumed.

  • Instructor: Zhaowen Guo, CSSCR Consultant
  • Date: Thursday, January 25, 2024
  • Time: 11:30am – 12:30pm
  • Location: Savery 117 (Big Lab)
  • Register here.

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Introduction to SPSS
Description:   This workshop introduces the SPSS statistical package including reading in data files, as well as basic data management and introductory statistical procedures. Additional topics include computing and recoding variables and selecting and filtering cases.

  • Instructor:  Shaena Brun, CSSCR Consultant
  • Date:  Thursday, January 25, 2024
  • Time:  3:30pm – 4:30pm
  • Location: Savery 117 (Big Lab)
  • Register here.

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Introduction to R using R Studio
Description: This workshop will teach you how to get started with R using the free integrated development environment called Rstudio. The workshop 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: He Ren, CSSCR Consultant
  • Date: Friday,  January 26, 2024
  • Time: 1:30pm – 2:30pm
  • Location: Savery 121 (Small Lab)
  • Register here.

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Data Wrangling in R
Description:  This workshop 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 are assumed to have basic familiarity with R/RStudio.

  • Instructor:  Victoria Sass, CSSCR Consultant
  • Date:  Monday, January 29, 2024
  • Time:  2:30pm – 3:30pm
  • Location: Savery 117 (Big Lab)
  • Register here.

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Introduction to Using Tableau
Description:   This is an introductory workshop demonstrating the use of Tableau for analyses and visualization of data. Emphasis will be on using Tableau for mapping/displaying geographic based data. No prior knowledge of Tableau is assumed.

  • Instructor:  Aya Masilela, CSSCR Consultant
  • Date:  Tuesday, January 30, 2024
  • Time:  11:30am – 12:30pm
  • Location:  Savery 117 (Big Lab)
  • Register here.

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Direct Coding of Audio Data using ATLAS.ti
Description: This workshop focuses on the ability to directly code audio data (e.g. interviews) using ATLAS.ti software. Direct coding of the data can make transcripting unnecessary, hence, can be initiated soon after data collection. If time permits, some visualization techniques ( such as Word Clouds) will be introduced. The workshop assumes a base knowledge of ATLAS.ti . While the workshop does not require having access to Atlas-ti it is helpful. For UW students/researchers/faculty access to ATLAS.ti on CSDE terminal server is available, please contact CSDE (Center for Studies in Demography and Ecology).

  • Instructor:  Baishakhi Basu, CSSCR Consultant
  • Date:  Thursday, February 1, 2024
  • Time:  2:30pm – 3:30pm
  • Location: Savery 121 (Small Lab)
  • Register here.

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If you have questions or problems registering please send a note to CSSCR@uw.edu.