Week 1: Foundations
01 - Introduction - Start with R
02 - Project Design and Graphing Data
Week 2: Data & Probability
03 - Descriptive Stats and Wrangling
04 - Probability and Inference I
Week 3: Mean Comparisons
05 - T-Tests: One, Two, Paired
06 - Power and Type I and II Error
Week 4: Experimental Design
07 - Non-Parametric T-Tests
08 - Study Design and Sampling
Week 5: Relationship Modeling
09 - Correlation vs Linear Models
Week 6: Regression & ANOVA
11 - Analysis of Variance
Week 7: Complex ANOVA & LMM
Week 8: GLMs
14 - GLM and Logistic Regression
15 - ANCOVA - Analysis of Covariance
Week 9: Multivariate Analysis
16 - Multivariate Statistics
17 - Principal Component Analysis
Week 10: Review & Finals
18 - NMDS and Cluster Analysis