Below are slides (.pdf), R code (.R) extracted from the code that generated the slides, and YouTube links to recorded videos.

Chapter slide set files

If the files are ever not available here, you can find them here.

Probability

Topic slides code videos
       
Probability pdf R Full
Discrete distributions pdf R Discrete vs continuous random variables
      Discrete random variables
      Bernoulli
      Binomial
      Poisson
Continuous distributions pdf R Continuous random variables
      Uniform
      Normal
Central limit theorem pdf R Central Limit Theorem
      Approximating normal distributions
      Astronomy example
Multiple random variables pdf R Multiple random variables

Inference

Topic slides code videos data
         
Statistics pdf R Field of statistics  
      Estimators  
      Properties of estimators  
      Graphical statistics  
Likelihood pdf R Statistical models  
      Likelihood  
      Maximum likelihood estimators  
Bayesian parameter estimation pdf R Bayesian parameter estimation  
Exponential distribution pdf R Exponential  
Gamma distribution pdf R Gamma  
Inverse gamma distribution pdf R Inverse_gamma  
T distribution pdf R T distribution  
Normal model pdf R Normal model yield.csv
      Normal model example  
Sampling distribution pdf R Sampling distribution  
Confidence intervals pdf R Confidence intervals  
P values pdf R    
Posterior model probability pdf R    
Comparing probabilities pdf R    
Comparing means pdf R    
Multiple comparisons pdf R    

Regression

Topic slides code
     
Simple linear regression pdf R
Regression diagnostics pdf R
Using logarithms in regression pdf R
Categorical explanatory variables pdf R
Multiple regression pdf R
ANOVA and F-tests pdf R
Contrasts pdf R
Experimental design pdf R
Two-way ANOVA pdf R

Supplementary materials

Topic slides code
     
Logistic regression pdf R
Poisson regression pdf R
Random effects pdf R

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Supplementary topics

Topic Source Handouts
     
Data Management Set01.Rnw Set01.pdf
Data Set02.Rnw Set02.pdf
Model comparison SetS04.Rnw SetS04.pdf
Random forests SetS05.Rnw SetS05.pdf