Course Catalog
Whether you're looking to hone your skills, acquire new modeling techniques, or simply learn the fundamentals, review our course offerings to select the course or courses right for you.
Stats for Credit
Introductory
Bayesian
Environment
Using R
Data Mining
Business
Life Science
- Biostatistics 1
- Biostatistics 2
- Biostatistics for Credit
- Clinical Trials - Adaptive
- Clinical Trials - Cluster
- Clinical Trials - Introduction
- Clinical Trials - Monitoring
- Clinical Trials - PK & Bioequivalence
- Clinical Trials - R
- Count Data
- Designing Valid Statistical Studies
- Epidemiologic Statistics
- Logistic Regression
- Longitudinal Data
- Matrix Algebra
- Meta Analysis 2
- Meta Analysis
- Missing Data - Sensitivity
- Missing Data CT
- Missing Data
- Mixed Models
- Sample Size
- Survival - Advanced
- Survival
Social Science
- Assessment
- Categorical Modeling
- Count Data
- Designing Valid Statistical Studies
- Factor Analysis
- GLM
- Logistic Regression
- Longitudinal Data
- Matrix Algebra
- Missing Data - Sensitivity
- Missing Data
- Mixed Models
- Rasch - Applications
- Rasch - Core
- Rasch - Facets
- Rasch - Further
- SEM - Advanced
- SEM
- Sample Size
- Social Networks
- Survey - Complex
- Survey Analysis
- Survey Design
- Survey-R
Engineering
Stat Methods
- Bootstrap
- Calculus Review
- Categorical Data
- Categorical Modeling
- Cluster Analysis
- Count Data
- Distributions
- Forecasting Analytics
- Logistic Regression - Adv
- Logistic Regression
- MLE
- Matrix Algebra
- Missing Data - Sensitivity
- Missing Data CT
- Missing Data
- Mixed Models
- Multivariate
- QLS Regression
- Regression
- Sample Size - NCSS
- Sample Size
- Smoothing: P-splines
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"Overall, this was the kind of strong, structured introductory exposure to a topic I've come to expect at statistics.com."
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