Skill Path: R Basics for Data Analysis
R is a very popular and easy-to-use programming language designed for analysis. It’s especially great for data visualization, and a thriving and helpful community of R programmers offers a lot of support to new programmers.
41 hours
14
4
Beginner
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Learn R Basics for Data Analysis
Here's what you'll learn to do.
Even if you’ve never written a line of code in R, you’ll catch on quickly, and we’ll have you writing code in minutes. If you like what you see in the first course, you can move on from here to study data visualization, data cleaning, or statistics.
- Fundamentals of programming in R
- How to use control flow and iteration
- How to work with and create your own functions
- Basics of working with strings and dates
Course Structure: R Basics for Data Analysis
Learn R programming syntax basics, data types, and perform calculations using common arithmetics operators.
Learn how to create a data structure, how to index a data structure, and perform operations over a data structure.
Learn how to use control flow with if-else statements, how to repeat your code efficiently with iteration, and how to use functions and write your own functions.
Learn how to manipulate strings from the stringr package, how to manipulate strings from the lubridate package, and how to use the map function from the purrr package.
