Create an R package (example: weather data API)

Introduction to Continuous Optimization for Statistics

Computational Algorithms for Least Squares and Generalized Least Squares Regression

Theory for solving linear systems - Part 1

Floating Point Numbers - Theory and Practice

Writing Fast R Code

Fundamentals of R Graphics

R error handling and debugging

R Input/Output - reading data, printing to screen, saving data

Functions in R

Subsetting objects in R

Atomic vectors and lists in R

Super Shoes: impact of Nike Vaporfly shoes on marathon performances

Analysis of Galton families data set: predicting children's heights from parents' heights

Brief Introduction to Time Series and Gaussian Process Models

Random Effects Models

Maximum Likelihood and REML for Linear Models

Linear Regression - Additive vs Interaction Models

Factor or Categorical Covariates

Variance, t-tests, and F-tests

Multiple Linear Model + Multivariate Normal

Matrix Algebra - Part 2

Matrix Algebra - Part 1

Statistical Modeling and Simple Linear Models

Generalized Linear Models in R - logistic regression of NFL field goal data

Introduction to Generalized Linear Models (logistic regression example)

Random Effects Models in R - Marathon Performance Data

Introduction to Random Effects Models

Experimental Designs - Randomized Block Designs

Experimental Designs - Factorial Designs