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 tryR 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.
Abhishek Kumar is a data science consultant, author, and Google Developers Expert (GDE) in machine learning. He holds a master’s degree from the University of California, Berkeley, and has been featured in the "Top 40 under 40 Data Scientist" list.