• 011-Introduction to jupyter notebooks    
  • 012-Introduction to R programming    
  • 013-Visualization using ggplot    
  • 021-Descriptive Statistics      
  • 022-Manipulating data: Introduction to dplyr.ipynb      
  • 03-Probability distributions      
  • 04-Sampling distributions and confidence intervals      
  • 05-Type II error and statistical power: effect and sample size    
  • 06-Statistical tests for one variable    
  • 071-Statistical tests for two variables: continuous vs categorical      
  • 072-Checking assumptions: Normality and Homogeneity of Variance      
  • 081-Plot categorical data    
  • 082-Tests involving two categorical variables    
  • 083-Tests involving two continuous variables    
  • 10-Regression    
  • 11-Model selection      
  • 12-Most common statistical tests are just regression!    
  • 13-Nonparametric testing    
  • 14-Multiple hypothesis testing