Want to run statistical analyses in Python but not sure which tools to use? This workshop walks you through how to carry out statistical analyses in Python – focused on the coding tasks and not on how to interpret your results. Learn to generate frequency tables and correlation matrices using Pandas, perform regression models (Linear, OLS, and Logistic) with Statsmodels, and export clean, publishable tables for your manuscripts.
Topics covered:
- Creating frequency tables and correlation matrices using Pandas and Seaborn
- Running regression models (Linear, OLS, Logistic) with Statsmodels
- Exporting tables to .docx files using python-docx
- Finding resources within UGA: Statistical Consulting Center
Presenter:
- Larissa do Carmo-Inácio, RCDM Graduate Assistant