The course is addressed to individuals with little or no experience in programming but who are enthusiastic about learning how to use R for data analysis and streamline their work.

The course covers fundamental concepts of programming and software design focusing on programming in R. We will go through various aspects of R scripting. After introductory lectures on good programming practices, basic software design theory and a brief overview of R, we will delve into programming. We start by learning how to use R as a basic calculator, what are variable types, how to use data structures, how to implement repeating actions with and without loops, and how to take actions based on certain conditions. We gradually proceed to loading data, importing data from common file formats, some basic matrix algebra and learning how to perform basic statistical tests and visualize results.

You will learn how to document your work and how to generate automatic reports using real-life datasets. During the course you will also be working on a small dataset to apply knowledge you learned in the course and will present that in a report format towards the end of the workshop.

The syllabus for this workshop are as follows.
- General introduction to programming and R
- R environment and RStudio IDE
- Data types
- Variables and operators
- Input/Output
- Control structures
- Functions and variable scope
- Base and ggplot2 graphics
- Overview of R package anatomy
- Brief introduction to Tidyverse
- Brief introduction to RMarkdown