Practical Biological Data Analysis
Prerequisite: R installation and Rmarkdown/Rstudio overview
Class 1: Introduction to the R statistical programming language
Class 2: R fundamentals part 2
Class 3: Data wrangling with the tidyverse
Class 4: Reshaping data into a tidy format
Class 5: Introduction to ggplot2 (part1)
Class 6: Introduction to ggplot2 (part2)
Class 7: Integrated Data Analysis
Class 8: Introduction to matricies
Class 9: Introduction to clustering and PCA
Class 10: Introduction to heatmaps
Class 11: Programming in R (part 1)
