This course is designed to teach experimental biologists the basics and hands-on knowledge of bioinformatics programming. In today's world, most graduate students in Molecular Genetics will encounter situations where they have to make use of computational tools and deal with datasets that are too large to practically handle manually (or with Excel). The main objective of this class is to give students the power of automation via bioinformatics programming. The class teaches by example and makes students comfortable with doing basic programming in R and adapting existing programs to their needs, as well as how to interface with standard bioinformatics software. We focus on R because it is the most popular data science and bioinformatics language and is easier to learn compared to most other programming languages. However, we will also give a brief introduction to the more general language of Python.