About
R Stats Bootcamp
This is a self-guided tutorial designed for people new to data science, statistics and R, and for those who would like a review. The materials can help you get going with critical skills in R programming, traditional data analysis and open science tools. The aim is to provide open, foundational training you can build on in the most efficient format possible. This will help prepare you for further training and to get you working with data in R as quickly as possible.
The Bootcamp is self-paced and has built-in assessment materials. The material is meant to work through in order as an experience, but is not in any way intended to be a reference to the presented topics.
Bootcamp modules
Module 1 Introduction to R scripting and the RStudio interface for beginners
Module 2 Introduction to using R for simple data analysis
Module 3 Introduction to reproducible code, R Markdown, and Github.
These pages will help orient you if you are a beginner, and we will also cover our design approach for the materials and the tools you will need to get started right away. If you are already an RStudio user and comfortable managing and storing script files and scripts in R, you may want to jump straight to the exercises on each page.
We make a few suggestions about this material:
Follow along consecutively with the workshop pages
Actually type and run all of the example code yourself
Complete each page before moving on to the next
Formally attempt all problems at the end of each page
Join us in Slack if you need assistance
That’s it!
Harper Adams Data Science
This website supports students and staff at Harper Adams University and the MSc in Data Science for Global Agriculture, Food, and Environment led by Ed Harris.