The Center for Social Science Computation and Research

Workshops Descriptions

CSSCR Short Workshops for Winter Quarter 2022

Introduction to SPSS

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

  • Instructor:  Youngwon Kim, CSSCR Consultant
  • Date:  Tuesday, April 12, 2022
  • Time:  1:30pm – 2:30pm
  • 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: Anwesha Pan, CSSCR Consultant
  • Date: Wednesday,  April 13, 2022
  • Time: 10:30am – 11:30am
  • Location: Savery 121 (Small Lab)
  • Register here.

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Introduction to GIS/ArcGIS

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 ArcGIS, a widely used GIS software package, as well as freely available data sets.

  • Instructor:  Aya Masilela, CSSCR Consultant
  • Date:  Friday, April 15, 2022
  • TIme:  9:30am – 10:30am
  • Location:  Savery 117 (Big Lab) 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:  Kovid Puria, CSSCR Consultant
  • Date:  Monday,  April 18, 2022
  • Time:  2:30pm – 3:30pm
  • Location: Savery 117 (Big Lab)
  • Register here.

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Basic Graphics and Data Visualization in R

Description:   This CSCCR 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: Tuesday, April 19, 2022
  • Time: 3:30pm – 4:30pm
  • Location: Savery 121 (Small 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: Victoria Sass, CSSCR Consultant
  • Date: Wednesday,  April 20, 2022
  • Time: 11:30am – 12:30pm
  • Location: Savery 117 (Big 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:  Thursday, April 21, 2022
  • Time:  2:30pm -3:30pm
  • Location: Savery 121 (Small 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:  Friday, April 29, 2022
  • Time: 1:30pm – 2:30pm
  • Location: Savery 121 (Small Lab)
  • Register here.

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Again to register for any of the above workshops follow this link.