Course Catalog
Whether you're looking to hone your skills, learn new modeling techniques, or simply learn the fundamentals, preview our course offerings below and then decide what's right for you.
Introductory
Bayesian
Environment
Using R
Data Mining
- Cluster Analysis
- Data Mining - Mistakes
- Data Mining - R
- Data Mining - SAS EM Practicum
- Data Mining - STATISTICA Data Miner Practicum
- Data Mining 1 - Intro
- Data Mining 2 - Unsupervised
- Decision Trees
- Logistic Regression
- Matrix Algebra
- Microarray Analysis
- Natural Lang. Processing
- SVM in R
- Sentiment Analysis
- Text Mining
- Visualization
Social Science
Business
- Choice Modeling
- Cluster Analysis
- Data Mining 1 - Intro
- Data Mining 2 - Unsupervised
- Financial Risk
- Forecasting - Advanced
- Forecasting
- Logistic Regression
- Matrix Algebra
- National Income
- Optimization - Advanced
- Optimization - Intro
- Risk Analysis
- Risk Simulation and Queueing
- Sentiment Analysis
- Survey Analysis
- Survey Design
Engineering
Life Science
- Biostatistics 1
- Biostatistics 2
- Clinical Trials - Adaptive
- Clinical Trials - Cluster
- Clinical Trials - Introduction
- Clinical Trials - Monitoring
- Clinical Trials - PK & Bioequivalence
- Clinical Trials - R
- Clinical Trials - Selection Bias
- Count Data
- Epi 1 - Fundamentals
- Epi 2 - Bias
- Epi 3 - Analysis
- Logistic Regression
- Matrix Algebra
- Meta Analysis 2
- Meta Analysis
- Missing Data - Sensitivity
- Missing Data
- Sample Size
- Survival - Advanced
- Survival
Stat Methods
- Bootstrap
- Business Analytics
- Calculus Review
- Categorical Data
- Categorical Modeling
- Cluster Analysis
- Count Data
- Distributions
- Forecasting - Advanced
- Forecasting
- Logistic Regression - Adv
- Logistic Regression
- MLE
- Matrix Algebra
- Missing Data - Sensitivity
- Missing Data
- Mixed Models
- Multivariate
- Regression
- SAS - Basics
- Sample Size - NCSS
- Sample Size
- Smoothing: P-splines
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What our students say:
"The course was very good and well presented. The material in the notes was self-explanatory for a non-technical person, and the supplementary book provided good reading for the person who is interested in more technical details."