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Data Project
Topics
1 - Intro to Data
2 - Summarizing Data
3 - Probability
4 - Distributions
5 - Foundations for Inference
6 - Inference for Categorical Data
7 - Inference for Numerical Data
8 - Linear Regression
9 - Multiple and Logistic Regression
Bayesian
Course information
Materials
Materials
These are supplemental materials. Click to download.
Cheatsheets_2019.pdf
Classical_Machine_Learning.JPG
ggplot_aesthetics_cheatsheet.png
Kruschke-Liddell2018_Article_BayesianDataAnalysisForNewcome.pdf
R_Syntax_Comparison.jpeg
Riezler2021_EmpiricalMethods-draft.pdf
stats_handout.pdf
Textbooks
imstat.pdf
lsr-0.6.pdf
os4.pdf
Software
Data Project