The Center for Social Science Computation and Research

Workshops Descriptions

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CSSCR Workshop Offerings Winter Quarter 2026

***Workshops are listed in the order of the dates they will be delivered***

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Introduction to Python

Description: This workshop assumes no familiarity with python and is even appropriate for new coders as well. We will start the basics including installation, choosing a programming environment, learning some key syntax, and ending with data analysis.

  • Instructor: Tynan Challenor, CSSCR Consultant
  • Date:  Wednesday, January 21, 2026
  • Time: 10:30am – 11:50am
  • Location: Savery 121 (Small Lab)
  • Register here.

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Efficient R Programming: Working with Many Columns, Functions, and Models

Description: A good rule of thumb in data wrangling and programming is: if you find yourself copying and pasting a block of code more than twice, it’s time to stop and think about a more efficient approach. This course will introduce functional programming and other techniques to reduce redundancy and enhance the computational efficiency of your R code. We will cover practical skills frequently used in data projects, such as manipulating multiple columns, writing anonymous functions, using map(), nesting dataframes within tibbles, and running multiple regressions and comparing them results simultaneously. Attendees are expected to have basic familiarity with data wrangling using dplyr in R.

  • Instructor: Brian Leung, CSSCR Consultant
  • Date:  Thursday, January 22, 2026
  • Time: 12:00pm – 1:20pm
  • Location: Savery 121 (Small Lab)
  • Register here.

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Geospatial Analysis in Python

Description: This workshop introduces core concepts and tools for working with spatial data in Python, covering geospatial data models, vector analysis with Shapely/GeoPandas, and raster processing with GDAL. Participants are encouraged to take an introductory Python course but not required.

  • Instructor: Yuying Xie, CSSCR Consultant
  • Date:  Monday, February 2, 2026
  • Time: 2:00pm – 3:20pm
  • Location: Savery 117 (Big Lab)
  • Register here.

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Introduction to Thematic Analysis in Atlas.ti

Description: This workshop provides a practical introduction to working in ATLAS.ti, by marrying the fundamentals of the qualitative methodology with the functionality of this program. This will include conceptualizing and creating quotations, codes, memos, and comments followed by establishing thematic relationships through systematic analysis. The hands-on course assumes no familiarity with Atlas.ti.

  • Instructor: Baishakhi Basu, CSSCR Consultant
  • Date:  Thursday, February 5, 2026
  • Time: 3:00pm – 4:20pm
  • Location: Savery 121 117 (Small Lab)
  • Register here.

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Introduction to STATA 13

Description: In this crash course, we will cover topics from viewing, cleaning, to graphing data in stata. The lab computers have the software installed.

  • Instructor: Biying Zheng, CSSCR Consultant
  • Date:  Friday, February 6, 2026
  • Time: 9:00am – 10:20am
  • Location: Savery 121 (Small Lab)
  • Register here.

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Data Wrangling in R

Description: This workshop explores some of R’s useful tools for data transformation, management and exploration. It will introduce some key concepts and techniques for data wrangling primarily using the Tidyverse packages. Attendees are assumed to have basic familiarity with R.

  • Instructor: Alireza Aminkhaki, CSSCR Consultant
  • Date:  Friday, February 6, 2026
  • Time: 2:30pm – 3:50pm
  • Location: Savery 121 (Small Lab)
  • Register here.

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Machine Learning Methods for Supervised Single-Label and Multi-Label Classification

Description: This workshop aims to provide attendees with the foundational knowledge needed to perform supervised single and multi-label classification using both traditional machine learning methods (Logistic Regression, Multinomial Logistic Regression) and more advanced machine methods (Random Forests and Neural Networks). The workshop will also cover distinguishing between supervised and unsupervised classification research questions. Attendees are expected to have a basic familiarity with conducting statistical analysis in Python.

  • Instructor: Yale Quan, CSSCR Consultant
  • Date:  Thursday, February 12, 2026
  • Time: 1:00pm – 2:20pm
  • 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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CSSCR workshops are open to members of the UW community without regard to race, national origin, sex, identity or any other protected class status.

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