Workshops Descriptions
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CSSCR Workshop Offerings Autumn Quarter 2025
***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, October 8, 2025
- Time: 10:30am – 11:50am
- Location: Savery 121 (Small Lab)
- Register here.
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Introduction to R
Description: This workshop aims to introduce basic tools and functions of R for reading, management and examining datasets. Attendees are assumed to have little to no experience with R.
- Instructor: Alireza Aminkhaki, CSSCR Consultant
- Date: Wednesday, October 8, 2025
- Time: 1:30pm – 2:50pm
- 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, October 9, 2025
- Time: 10:30am – 11:50am
- Location: Savery 121 (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: Wednesday, October 15, 2025
- Time: 9:00am – 10:20am
- 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 16, 2025
- Time: 1:30pm – 2:50pm
- 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, October 23, 2025
- Time: 1:00pm – 2:20pm
- Location: Savery 121 (Small Lab)
- Register here.
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Introduction to Web Mapping
Description: Learn how to use ArcGIS Online to create interactive web maps and bring your spatial data to life. We’ll also build a dashboard to showcase tabular data that connects to your web map—a great way to advance your data visualization skills.
- Instructor: Yuying Xie, CSSCR Consultant
- Date: Monday, October 27, 2025
- Time: 12:00pm – 1:20pm
- 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: Wednesday, October 29, 2025
- Time: 3:00pm – 4:20pm
- 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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ICPSR access at CSSCR
CSSCR maintains the UW membership in the Inter-university Consortium for Political and Social Research (ICPSR). All members of the UW community have direct access to ICPSR’s data archive of over 9,900 studies. Please contact us (csscr@uw.edu) if you have questions or need more information about using this resource for accessing data or adding your data to the ICPSR repository. ICPSR new data releases and other news can be found here.
CSSCR in-house data sets
CSSCR maintains an extensive catalog of data sets beyond those available through ICPSR. Please contact us for more information about data sets you are looking for. This quarter, we have added two new data sets to our collection:
- 2024 Detailed General Election Data for President—US County Level
- 2024 Detailed Presidential Election Data—Washington Precinct Level
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