Data Science for Statisticians Workshop

This repo contains:

• the lectures in R markdown and html,
• the labs
• the solutions in R markdown and markdown that renders in Github
• the data and rdas

The lectures are the following:

• Getting started
• Introduction to the tidyverse
• Data Visualization Principles
• Introduction to ggplot2
• Data Wrangling
• Brief Introduction to Machine Learning

Prerequisites: Basic knowledge of R. For example, you should know how to define a numeric vector, how to access to elements of data frame, and how to write a function.