Teaching
University of Texas at Austin
Spring 2026
- STA 235 - Data Science for Business Applications
Fall 2025
- STA 235 - Data Science for Business Applications
- class 01 - Simple and Multiple Regression
- class 02 - Categorical Variables
- class 03 - Interactions
- class 04 - Regression Assumptions
- class 05 - Modeling nonlinear relationships
- class 06 - Time Series Decomposition and Autoregression
- class 07 - Model building for prediction
- class 08 - Logistic Regression 1
- class 09 - Logistic Regression 2
- class 10 - Decision Trees
- class 11 - Random Forest
- class 12 - Building models for explanation
- class 13 - Basic Causal Inference
- class 14 - Natural experiments and RDD
Spring 2025
- STA 235 - Data Science for Business Applications
Fall 2024
- STA 235 Honors - Data Science for Business Applications
- class 01 - Simple and Multiple Regression
- class 02 - Categorical Variables and Interactions
- class 03 - Regression assumptions and Outliers
- class 04 - Modeling nonlinear relationships
- class 05 - Time Series Decomposition and Autoregression
- class 06 - Model Selection
- class 07 - Logistic Regression
- class 08 - Basic Causal Inference
- class 09 - Randomized Control Trials
- class 10 - Natural Experiments - Diff-in-Diff
- class 11 - Natural Experiments - RDD
Summer 2024
- STA 235 - Data Science for Business Applications
Spring 2024
STA 235 - Data Science for Business Applications
STA 301 - Introduction to Data Science
Fall 2023
STA 235 - Data Science for Business Applications
STA 301 - Introduction to Data Science
Spring 2023
STA 235 - Data Science for Business Applications
STA 301 - Introduction to Data Science
Fall 2022
- STA 301 - Introduction to Data Science
Summer 2022
- STA 235 - Data Science for Business Application
Fall 2022
- STA 235 - Data Science for Business Application
University of São Paulo
Summer 2022
- Introduction to Probability Theory