R is a powerful and widely used open source software and programming environment for data analysis. Companies across the globe use R as an essential tool for various types of analysis to get key insights from data and to make key decisions. This course will provide everything you need to know to get started with the R framework, and contains a number of demos to provide hands-on practice in order to become an efficient and productive R programmer. By the end of this course, you will also learn to play with data and to extract key information using various R functions and constructs.
What is R programming used for?
R programming is especially useful for importing and cleaning data in an open source programming environment. R is frequently used by quantitative analysts to help make key decisions from data. It gives a wide range of statistics that are useful for data science, including statistical computing and design.
What will I learn in this course?
You will learn about:
R variables and operators
R data structures
flow control in R
how to import data
Is R better than Python?
R and Python serve different purposes in that R is mainly used for statistical analysis, whereas Python takes a broader approach to data science. If you have data that is already gathered and cleaned and you just want to analyze it, then R is most useful. But if you are scraping raw, messy data from some source, Python may be more fitting.
Are there prerequisites to this course?
Nope! This is a beginner level course for people just getting started learning R programming, explaining what R is, why you should learn it, and how to install it.
Is R free to download?
Yes! Just follow the instructions in the course to get the latest version downloaded and correctly installed for your specific operating system.