Applied Predictive Modeling
A graduate-level course on applied predictive modeling for working professionals, offered online through Pitt's Master's of Data Science program on Coursera.
Term: Spring
This course covers practical predictive modeling techniques with a focus on real-world applications.
Topics include:
- Data Preprocessing
- Data Clustering
- Association Rule Mining
- Recommender Systems
- Decision Trees
- Linear Regression
- Model Evaluation
- Ensemble Methods
- Bayesian Methods
- Time-Series Forecasting
- Monte Carlo Simulation
The course is part of Pitt’s online Master’s of Data Science program, delivered via Coursera.