Introduction to Data Science

Harvard HSPH

This course introduces concepts and skills that can help you tackle real-world data analysis challenges. The skills include file organization with UNIX/Linux shell, version control with git and GitHub, R programming, data wrangling with dplyr and data.table, data visualization with ggplot2 and shiny, and reproducible document preparation with RStudio, knitr and markdown. We briefly introduce Monte Carlo simulations, statistical modeling, high-dimensional data techniques, and machine learning…