UMD Biostatistics 2026: Schedule
Week 1: Foundations
01 - Getting Started
02 - Wrangling Your Data
Week 2: Description & Visualization
🏫 Campus Holiday — no class this session
03 - Describing Your Data
Week 3: Visualization & Probability
04 - Graphing Effectively
05 - Probability and Inference I
Week 4: Comparing Two Groups
06 - T-Tests: One, Two, Paired
07 - Non-Parametric T-Tests
Week 5: Power & Study Design
08 - Power and Type I and II Error
09 - Study Design and Sampling
Week 6: Correlation & Regression
10 - Correlation vs Linear Models
Week 7: Multiple Regression
11 - Multiple Regression
Week 8: Analysis of Variance
12 - Analysis of Variance
Week 9: Factorial & Nested ANOVA
13 - Two-Way ANOVA
14 - Nested ANOVA
Week 10: Linear Mixed Models
15 - Linear Mixed Models
Week 11: Generalized Linear Models
16 - GLM and Logistic Regression
Week 12: Analysis of Covariance
17 - ANCOVA - Analysis of Covariance
Week 13: Multivariate Statistics
18 - Multivariate Statistics
Week 14: Principal Component Analysis
19 - Principal Component Analysis
Week 15: Ordination & Clustering
20 - NMDS and Cluster Analysis
Week 16
🏫 Final Exam Week — no final exam