Syllabus
Statistical Methods Workshop Staff
- Instructor: James Balamuta
- Affiliation: University of Illinois Urbana-Champaign
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Email: balamut2
illinois edu
Biography:
I am currently a Visiting Assistant Professor in the Department of Statistics at the University of Illinois Urbana-Champaign. In the Summer of 2021, I completed my PhD in Informatics and deposited my dissertation on Bayesian Estimation of Restricted Latent Class Models under the supervision of Prof. Steven Culpepper. I write and teach in R and Python just about every single day. I enjoy finding and working on problems that have multiple ways to reach a solution. Research wise, I primarily focus on latent variable modeling and psychometrics that often necessitates integrating compiled code routines with R. On the teaching side, I’m interested in data science pedagogy and figuring out innovative ways to incorporate industry data science techniques in academic settings.
INMAS Statistical Methods Workshop Description
The INMAS Statistical Methods Workshop is designed for graduate students who are transitioning into an industry data science role. The workshop focuses on programming with data in Python for statistical purposes. Topics will include: data wrangling (cleaning data), statistical modeling (linear and logistic regression), visualization techniques, ethics, and model deployment.
Schedule
| Date | Seminar Topic | Time |
|---|---|---|
| Pre-workshop | ||
| Google Colab | Anytime | |
| —- | —– | —- |
| Fri, Nov 12th | Session #1 | |
| Welcoming Statements | 5:00 - 8:00 PM CDT | |
| Data Wrangling with Pandas | ||
| Data Cleaning | ||
| —- | —– | —- |
| Break | 6:25 - 6:40 PM CDT | |
| —- | —– | —- |
| Sat, Nov 13th | Session #2 | |
| Visualizations | 9:00 AM - 12:00 PM CDT | |
| —- | —– | —- |
| Break | 10:30 AM - 10:45 AM CDT | |
| —- | —– | —- |
| Lunch Break | 12:00 PM - 2:00 PM CDT | |
| —- | —– | —- |
| Sat, Nov 13th | Session #3 | |
| Linear Regression | 2:00 - 5:00 PM CDT | |
| Break | 3:30 - 3:45 PM CDT | |
| —- | —– | —- |
| Sun, Nov 14th | Session #4 | |
| Logistic Regression | 9:00 - 12:00 PM CDT | |
| Break | 10:30 - 10:45 AM CDT |