The below are two resources to learn R and are the standard resources used by the community.
RStudio Cloud - Do, share, teach, and learn data science
Welcome to my course: R for Data Analysts. The purpose of this course is to give you the skills to get started using R like a Data Analyst. It doesn't teach you how to be a developer and I skip over or lightly cover any concepts that I think are less important to getting started. The idea is to just teach you what you need to get started as a Data Analyst and get you motivated enough to start learning R in depth by yourself as you need to.
Coding is a difficult skill to pick up and doesn't come naturally to a lot of people including myself.
Instructions are highlighted
I've released a YouTube video to accompany this document and highly recommend that you follow along with that as well. You can find it on my YouTube channel here:
One more thing. If this is your first time coding or you're just starting your journey, don't worry! You will probably need to go through this at least twice in order to start understanding
Python for Data Analysts and Data Scientists
If you’re interested in learning Python check out my course over here
R is an open-source, statistical computing programming language used for all kinds of statistical and analytical purposes. Anecdotally, I’ve noticed it primarily used by academics or people who have come to corporate jobs from very expansive academic backgrounds. It fills a similar role in the world of Data Science as Python and is one of the two major languages (along with Python) used in Data Science.
RStudio is the standard IDE or Integrated Development Environment used in the Data Science world. Code is just a bunch of keywords and variables put in a specific order to achieve some result. You can write code in basically any program that allows you to write and save text in specific formats. An IDE has many features that make the code development process a lot easier to handle.
Go to the link below:
Download and install the R programming language first (you’ll be redirected to a different page). After that, install R Studio.