Data Science Workshops
The Kansas Data Science Consortium (KDSC) was tasked by the National Science Foundation to create data-science based workforce development opportunities. The KDSC is proud to offer a series of workshops to students and professionals that are career relevant and cutting edge.
| Date | Time | Event | Location | Regsitration |
|---|---|---|---|---|
| August 15, 2025 | 12:00-4:00PM | Social Science Summer Statistics (S4) Bootcamp | Gray-Little Hall, Room 1160 | Workshop Materials |
| September 22, 2025 | 4:00-5:00PM | Stata Workshop: Intro & Wrangling | Gray-Little Hall, Room 1160 | Register Here |
| September 29, 2025 | 4:00-5:00PM | Stata Workshop: Visualizations | Gray-Little Hall, Room 1160 | |
| October 6, 2025 | 4:00-5:00PM | Stata Workshop: Statistical Analysis | Gray-Little Hall, Room 1160 |
Contact
Questions about workshop content can be directed to williamduncan@ku.edu
Previous Workshops
Topics included a gentle introduction to programming in R and a refresher on probability theory, research design, and measurement. Ideal for incoming graduate students preparing for their first statistical methods course.
S4 Bootcamp - Recording
S4 Bootcamp - Materials
The Intro to Stata Workshop Series provided an overview of three basic skillsets: Wrangling, Visualizations, and Statistical Analysis. Each workshop can be found below and in the KDSC Online Repository.
Intro & Wrangling:
- Stata Wrangling Workshop (.pdf)
- Wrangling - Poverty Panel (.do file)
- Wrangling - Economic Panel (.do file)
Visualizations:
Statistical Analysis:
The Intro to R Workshop Series provided an overview of three basic skillsets: Wrangling, Visualizations, and Statistical Analysis. Each workshop can be found below and in the KDSC Online Repository.
Intro & Wrangling:
Visualizations:
Statistical Analysis:
KU Community Data Labs hosted workshops to discuss agencies in the federal statistics system. Each session provided an overview of the data and participants worked with these datasets in Stata. Each workshop can be found below and in the KDSC Online Repository.
Bureau of Labor Statistics:
- Data Creation (.do file)
- Visualization (.do file)
- Statistical Analysis (.do file)
- 1990-2023 Data (zip files and .dta file)
Bureau of Economic Analysis:
- Data Creation (.do file)
- Visualization (.do file)
- GDP Data (zip file containing .csv)
- Tiger County Shape File (.zip file)
National Center for Education Statistics:
National Center for Health Statistics:
- CDC BRFSS ANOVA (.pdf file)
- CDC BRFSS ANOVA (.do file)
- CDC BRFSS Chi Squared (.pdf file)
- CDC BRFSS Chi Squared (.do file)
- CDC BRFSS Data (.zip file)
Census Bureau:
Dr. Chaspari's presentation on "Deconstructing and Mitigating Socio-Demographic Bias in AI Algorithms for Mental Health" for the Data Bias and Fairness Speaker Series. In this lecture, Dr. Chaspari spoke about AI algorithms and their relation to mental health outcomes. She relayed useful lessons regarding data science principles in research and machine learning.
Bias in AI Algorithms for Mental Health - Recording
Xuhui Zhou's presentation on "Safety, Ethics, and Biases in AI and NLP Systems" for the Data Bias and Fairness Speaker Series. In this lecture, Xuhui spoke about the biases in AI algorithms and NLP model training. He relayed useful lessons regarding data science principles in AI, machine learning, and data collection.
Safety, Ethics, and Biases in AI and NLP Systems - Recording
Dr. Kevin Bowyer's presentation on the "Criminality from Face Illusion." This lecture analyzes how published results on this "criminality from face" problem can give the illusion that it can be done. This discusses that any positive results on criminality from face can only be an illusion, and that belief in this illusion is dangerous.