Learn the fundamentals of programming in R Work with R's conditional statements, functions, and loops Build your own functions in R Get your data in and out of R Learn the core tools for data science with R Manipulate data with the Tidyverse ecosystem of packages Systematically explore data in R The grammar of graphics and the ggplot2 package Visualise data: plot different types of data & draw insights Transform data: best practices of when and how Index, slice, and subset data Learn the fundamentals of statistics and apply them in practice Hypothesis testing in R Understand and carry out regression analysis in R Work with dummy variables Learn to make decisions that are supported by the data! Learn to make decisions that are supported by the data! R Programming is a skill you need if you want to work as a data analyst or a data scientist in your industry of choice. Data scientist is the hottest ranked profession in the US. But to do that, you need the tools and the skill set to handle data.