Data Science courses in R from HarvardX
Early assesments (courses 1-4) were mostly completed using Datacamp. Once productivity tools, like RStudio and GitHub were introduced in course 5, the scripts were completed in .R scripts.
dplyr
, and plotting using basic packages.ggplot2
, and studying the advantages and pitfalls of widely-use plots.tidyverse
, processing string with regex, wrangling data with dplyr
, handling date and time formats in data, and text mining.caret
package, employing regularization when appropriate.