The Center for Social Science Computation and Research

Workshops Descriptions

CSSCR Short Workshops for Autumn Quarter 2024

Listed chronologically by date of workshop

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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: Tuesday,  October 22, 2024
  • Time: 12:30pm – 2:00pm
  • Location: Savery 121 (Small Lab)
  • Register here.

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Introduction to Qualitative Analysis using ATLAS.ti

Description:   This workshop provides a brief, practical introduction to working in ATLAS.ti, covering basic terminology and functionality of the program. This will include importing text documents, coding and annotating documents, and exploring relationships through analysis and query tools. The course assumes no familiarity with Atlas.ti

  • Instructor:  Baishakhi Basu, CSSCR Consultant
  • Date:  Wednesday, October 23, 2024
  • Time:  2:30pm – 4:00pm
  • Location: Savery 117 (Big Lab)
  • Register here.

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Introduction to QGIS

Description:   This course will provide students with a broad overview of what geographic information systems (GISs) are and how social scientists can benefit from using them in their research. Students will explore basic GIS concepts through hands-on exercises using QGIS, a widely used GIS software package, as well as freely available data sets.

  • Instructor:  Yu-Ying Xie, CSSCR Consultant
  • Date:  Monday, October 28, 2024
  • TIme:  10:30am – 12:00 noon
  • Location: Savery 117 (Big Lab)
  • Register here.

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Introduction to Stata

Description: This workshop will teach you how to get started using the statistical package Stata. The workshop will cover a) reading in data files from different sources, b) basic data manipulation, and c) some basic common statistical procedures. No previous Stata experience required.

  • Instructor: Crystal Yu, CSSCR Consultant
  • Date: Monday,  October 28, 2024
  • Time: 1:30pm – 3:00pm
  • 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: Alireza Aminkhaki, CSSCR Consultant
  • Date: Tuesday,  October 29, 2024
  • Time: 1:30pm – 3:00pm
  • Location: Savery 121 (Small Lab)
  • Register here.

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Introduction to Python

Description:  This introductory workshop is designed to introduce you to basic Python commands, including reading in datasets, basic data manipulation, and common statistical tests and procedures. This will also cover common Python IDEs and comparisons to other popular programming languages such as Stata and R.  This class will be ideal for users who have little to no experience with Python.

  • Instructor:  Tynan Challenor, CSSCR Consultant
  • Date:  Wednesday,  October 30, 2024
  • Time:  10:30am – 12noon
  • 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:  Thursday, October 31, 2024
  • Time:  10:30am – 12noon
  • Location: Savery 121 (Small 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: Brian Leung, CSSCR Consultant
  • Date: Thursday, October 31, 2024
  • Time: 12:30pm – 2:00pm
  • 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.
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If you have questions or problems registering please send a note to CSSCR@uw.edu.