Instructor at the University of Illinois at Urbana Champaign
Business Analytics II
Topic
- Intro to Predictive Analytics
- Linear Regression
- Logistic Regression
- Intro to Classification
- Decision Tree
- Random Forest
Programming Language
- Python
Ph.D. Seminar on Causal Inference
Topic
- Potential Outcome Framework
- Pearl’s Framework (Directed Acyclic Graphs)
- Matching
- Field Experiment
- Natural Experiment and 2X2 Difference-in-Differences (DID)
- Staggered DID
- Stacked DID
- Synthetic Control
- Synthetic DID
- Instrumental Variable
- Regression Discontinuity Design
- Machine Learning for Causal Inference
Instructor at Singapore Management University
Analytics Foundation
Topic
- Data Visualization Using Tableau and Python
- K-means Clustering
- Association Rule Mining
- Intro to Classification
- Decision Tree
Programming Language
- Python
Introduction to Artificial Intelligence
Topic
- Bayesian Network
- Artificial Neural Network
- Convolutional Neural Network
- Recurrent Neural Network
- Reinforcement Learning
Programming Language
- Python