Syllabus
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Lectures
Module 1: Basic R programming
Module 2: Data wrangling (I)
LaTeX, tidyverse
Module 3: Data wrangling (II)
R style guide
- Full Guide
ggplot2
Module 4: Statistical inference (I)
Bias, Consistency, and MSE
Module 5: Statistical inference (II)
MLE, Numerical Methods
Module 6: Statistical inference (III)
Wald, Score, and Likelihood Ratio Test
Module 7: Linear regression
Module 8: Generalized linear models
Module 9: Parallel Computing in R
Module 10: Generalized linear models